CN1361895A - Peripheral device of computer for automatically recognizing stress and system for determining stress using the same - Google Patents

Abstract

The present invention relates to a peripheral device of computer for automatically recognizing stress and system for determining the stress using the device. The system pertaining to the present invention measures and processes body information, such as pulses, skin temperature, skin conductivity and/or muscle conductivity of a computer user by measuring means (500, 600, 700) and process means (400) in a peripheral device (300), produces a stress index from the processed information by a stress-recognizing program in a computer (200), and displays the produced stress index on a display. According to the present invention, the stress index of the user are automatically measured and then displayed, and the user is, therefore, able to take an action for relaxing or lapsing the stress during a working.

Description

Computer peripheral device for automatic recognition of pressure and system for determining pressure using the device

Background technique

The present invention relates to a computer peripheral device and a stress determination system for automatically recognizing stress of a computer user. It particularly relates to a computer peripheral device and a pressure measurement system for automatically identifying pressure, the system measures the user's pulse, temperature, skin conduction rate and/or muscle conduction rate through a computer peripheral device such as a mouse, and inputs these information into a computer and The information is judged from the measured values together with the determined pressure total and is then displayed on the monitor.

Recently, with the sudden increase in computer users, the time spent using the computer has also increased in an equally large proportion. Due to the sudden increase in use time, stress and possibly computer-induced VDT (display) syndrome have become serious problems.

In addition, people's lives today are also faced with inevitable pressure. These stresses are causing more disease and human suffering, which must lead people to think that most unexplained diseases are caused by stress. As a result, stress has been the cause of many diseases, and many research topics around the world are on the link between stress and disease.

Often, stress is associated with all the anger that upsets the balance of the body, including physical to physiological shifts. When stressed, the lower part of the brain's thalamus, which controls homeostasis in the body, is the first to recognize stress. Then the lower part of the thalamus immediately stimulates the sympathetic nerves, which induces the secretion of stress hormones (catecholamines), which causes the blood vessels in the body to constrict, the pupils to dilate, the heartbeat to increase, the breathing to increase, and the peristalsis of the stomach to suspend. Likewise, the lower part of the thalamus stimulates the pituitary gland, which secretes adrenal cortex hormones, which promotes the secretion of cortisol hormones and increases the production of glucose in the liver. The increased glucose and oxygen flow through the contraction of the blood vessels to accelerate the flow and concentrate in the brain and muscles to fully adapt to external anger, but cannot reach the end of the blood vessels, so the phenomenon of sudden cold hands and feet will appear. The pituitary gland also enhances its ability to pump adrenaline into the bloodstream. Epinephrine, along with steroids secreted by the adrenal cortex, increases the stimulation level. All of this chemical-related stress response stimulates the nervous system, heart vessels, and muscle tissue. The above-mentioned reactions caused by temporary stress are normal, but if stress, especially mental stress, continues, it will cause fatal damage to the human body.

In order to solve the above-mentioned problems, the present inventor has developed a Stress Resolvable Computer System (a computer system that can distinguish pressure), which is disclosed in Korean Patent Application 99-38330 on September 9, 1999, which is incorporated herein as the present invention a part of.

As shown in FIG. 1, according to the above-mentioned Korean patent application of the present inventor, the execution or control program is an application program for stress relief, which is installed on a computer through a program transmission medium or a remote control device, and the program prepared on the website is passed through Download from the network to form a complete application program, its execution and control program is stored in the internal memory (210) of the host computer (200), the data program is stored in the data program memory part (220), and the pressure recognition program is stored in the pressure recognition program memory In the part (230), a device is placed on the computer peripheral (300) such as a mouse or a keyboard used during the work of the computer user, by which the pressure can be detected by the pressure recognition sensor (320) and the sensor transducer (310). Recognize, and carry out the procedure of reducing stress according to the user's stress index, therefore, when the pressure recognition signal is input through the peripheral device (300) such as mouse or keyboard, the signal from the microprocessor is converted into appropriate data and passed through The converter (110) of the output device (100) controls the signal, the processing of the sound is output through the speaker (130), the processing of the color is output through the monitor (120), and the processing of the smell is through the spray device ( 140) Sprays of fragrance are implemented so that stress can be relieved or eliminated. Loudspeakers and monitors are presumably well known devices, while spraying devices, for example, are available from the inventor's patent application 00-27636, May 23, 2000.

Similarly, in the computer system that can automatically recognize pressure and can relieve pressure, the pressure recognition sensor (320) that can sense the pressure of the user is attached to the peripheral equipment (300) used by the user in work, such as a keyboard or mouse, And the state of the human body identified according to the total amount of stress, such as pulse rate, body temperature or skin conductivity, is transmitted to the computer or microprocessor through the sensor converter (310), and the program for relieving stress begins to operate, so the computer user can Manage stress during computer use and in turn increase productivity.

In addition, although each person is under different stress, they may have the following symptoms, such as decreased concentration, difficulty making simple judgments, loss of confidence, easy or frequent anger, anxiety and restlessness, increased or decreased appetite, irrationality Fear or sudden cramps, arteriosclerosis, infertility. Likewise, the nervous and endocrine systems are closely related to stress response coping, which can be detected through different physiological signals.

Furthermore, there are many methods to determine the information of the human body, and there are also many devices and instruments to measure the information. However, the information from these simple measurements cannot be effectively utilized.

On the one hand, many portable devices are produced that are comfortable for people to use, but people actually take measurements such as pulse rate and when looking at the results, simply make an arbitrary judgment because it is difficult for the average person to determine the The total amount of pressure. Likewise, some measuring devices produce errors in simply measuring a person's pulse rate and converting this change in pulse rate into a stress index. On the other hand, some equipment collects several kinds of human body-related information, but it is quite complicated and the equipment is expensive. Therefore, the equipment developed by them cannot be really used by ordinary people, especially computer users.

Contents of the invention

The purpose of the present invention is to provide a kind of computer peripheral equipment (especially mouse) that is used for automatically identifying pressure to be used in the above-mentioned computer system for relieving stress or in the computer that automatically recognizes the user's current stress index and warns the user. involves a system built into the mouse that remains in contact with the mouse during computer use, body temperature, pulse, skin conductance, and/or muscle conductance are measured directly by the mouse, and a variety of large information values are sent to the CPU, Among them, information is measured, judged, and stored, and the measured data is finally received in the host computer, and various information representing the total amount of stress or fatigue are displayed on the monitor together with the comprehensive analysis results made.

In the process of using the computer, when the hand is in contact with the mouse, the present invention senses the information of the human body through the sensors placed on the surface of the mouse, that is, body temperature, pulse rate, skin conductivity and sweating, muscle conductivity, blood flow, Blood pressure, PO2, and display these information on the monitor, while analyzing the relevant information of the human body to detect the total amount of stress and fatigue.

In conclusion, the primary purpose of the present invention is to measure the information of the human body and detect the amount of stress or fatigue. The design of this system can allow ordinary people to measure simply and conveniently when using a computer, and can obtain various information of the human body and obtain comprehensive judgment data through these information to determine whether pressure exists.

A second object of the present invention is to essentially detect the amount of stress or fatigue using the functionality of a peripheral device like a mouse. When businessmen or students who spend a lot of time on the computer can detect their physical status at any time while using the computer.

Another object of the present invention is to provide a mouse which can measure the most convincing pressure by adding a simple device.

In order to achieve the above object, the computer stress measurement system as one aspect of the present invention includes computer peripheral equipment (300), the peripheral equipment includes a human body information measurement component for measuring the computer user's human body information, and is used to process the above-mentioned measured human body Information equipment (400), and the equipment (800) that sends the above-mentioned signal-processed human body information signal to the host computer; and the provided host computer (200) with a pressure recognition program can be used for the human body information signal sent by the above-mentioned The information signal calculates the variation coefficient of the human body information, and assigns and calculates weighted values for each coefficient to determine the pressure index.

Preferably, the human body information measuring component includes at least one skin conductivity measuring component and a pulse measuring component, and more preferably, the human body information measuring component further includes a body temperature measuring component and a muscle conductivity measuring component.

In addition, the signal processing device preferably includes a conversion device (420) for A/D (analog/digital) conversion of the detected human body signal, and a device for temporarily storing the detected human body signal information ( 430), and a controller (410), said stress recognition routine more preferably includes a stress index indicator that causes the stress index to be displayed on a monitor.

In addition, in addition to the window program processor (250) used to process the input/output of the general-purpose computer, the host computer also includes a pressure recognition program processor (260), and can be further equipped with a device driver (240), If human body information is input from the peripheral device, it converts the input data to the stress recognition program.

In order to achieve the above object, the computer peripheral equipment as another aspect of the present invention includes computer peripheral equipment comprising a human body information measuring part for measuring the computer user's human body information, a device for signal processing the measured human body information ( 400), and a device (800) for sending the signal-processed human body information signal to the host computer, and the human body information measurement component includes a skin conductivity measurement component (500; 500') and a pulse measurement component ( 700, 700'), the skin conductivity measurement component includes a first electrode (501) for authorizing detection signals to the skin, a second electrode (502) for sensing human body information signals from the skin and An output device (570; 570') for outputting the signal sensed from the second electrode to the signal processing device (400), the pulse measurement component includes a light emitter and a receiver (710), one for amplifying and an amplifier outputting a signal detected from said light receiver and a comparator (790) for comparing said amplified signal with a reference voltage (Vref) and digitizing and counting the signal. Preferably, the peripheral device is a device with a pointing function such as a mouse.

Description of drawings

What Fig. 1 shows is the block diagram of the computer system that the pressure recognition relevant to the present invention produces smell,

Fig. 2 is a structural diagram of a mouse that automatically recognizes pressure according to a preferred embodiment of the present invention,

Fig. 3 is a circuit block diagram of a mouse that automatically recognizes pressure according to a preferred embodiment of the present invention,

Figure 4 is a detailed circuit diagram of the signal processor and transmitter in Figure 3,

5a to 5d are detailed circuit diagrams of the skin conductance/muscle conductance measurement components in FIG. 3,

Fig. 5e is an equivalent circuit diagram of Fig. 5a to Fig. 5d,

Fig. 6 is a detailed circuit diagram of the body temperature measuring part in Fig. 3,

Fig. 7a to Fig. 7d are the detailed circuit diagrams of the pulse measuring part in Fig. 3,

Fig. 8 is a structural diagram of the pressure recognition program in Fig. 1,

Figure 9 is an example diagram of a computer monitor displaying pressure information determined by the present invention,

Fig. 10 to Fig. 12 are the circuit diagrams of another embodiment of the pressure measurement mouse related to the present invention, Fig. 10 is a click function and control parts of a traditional mouse, Fig. 11 is a measurement part of skin conductance, Fig. 12 is a pulse measurement part,

Figure 13 is a wave diagram of the comparator input/output signal,

Figure 14 is a schematic diagram of mouse signal processing,

Fig. 15a and Fig. 15b are the structural diagrams of the mouse signal data in Fig. 14, and wherein Fig. 15a is the example that represents the mouse click signal data, Fig. 15b is the example that represents the anthropometric signal data,

Fig. 16 is a flowchart of the mouse operation of the preferred embodiment of Fig. 12 to Fig. 14,

What Fig. 17 shows is the subroutine diagram of the translation and sending activity of the human body information signal in Fig. 16,

Figure 18 is a block diagram of an overall experimental test of a pressure measuring mouse according to the present invention,

What Fig. 19 shows is the computer screen of the calculation test stimulus program used in Fig. 18 experiment,

Figure 20a and 20b have represented the processing procedure of computing test experiment and CPT (continuous task test) experiment respectively,

Figure 21 depicts the physiological signal collected by the experiment,

Figures 22a and 22b are examples of the questionnaires used in Figures 20a and 20b, which are individual evaluation forms for mental stress and physical stress, respectively,

Fig. 23a and Fig. 23b are respectively the example of heartbeat frequency and GSR (galvanic skin response) analysis procedure,

Figures 24a to 24c show the changes in heartbeat, GSR and skin temperature according to the calculation and CPT test time. 100: output device 10: converter 120: monitor 130: speaker 140: spray device 150: tactile stimulation device 200: computer host 210: execution and control program memory 220 Recognition program memory 231: Calculation component of human body signal variation coefficient 236: Calculator 237: Pressure index indicator 240: Device driver 250: Window program processor 260: Pressure recognition program processor 300: Computer peripheral equipment 310: Sensor converter 320 : Pressure recognition sensor 330: X-Y axis movement detector 340: Changeover switch component 350: Z-axis movement detector 360: Operation indicator 370: Transmitter 400: Signal processor 410: Controller 420: A/D conversion Device 430: EEPROM 500, 500': Skin Conductivity/Muscle Conductivity Measurement Part 510: D/A Converter 520: Timer 530, 530': First Amplifying Part 540: Second Amplifying Part 550: Bias part 560: Muscle conduction signal output device 570, 570': Skin conduction signal output device 580: Buffer 590, 590': Relay 600: Body temperature measurement part 610: Base signal generator 620: Comparison 630: Offset Adjuster 640: Amplifying Part 700: Pulse Measuring Part 710: Optical Transmitter and Optical Receiver 720, 720': First Amplifying Part 730: First Filter 740: Second Filter 750, 750' : Second amplifying part 760: Trigger circuit 770: Third amplifying part 780: Warning part 790: Comparator 800: Transmitter 910: Computer monitor 920: BIOPAC930: MP100WS device 9 : Analysis

Detailed ways

Referring to Figs. 2 to 9, a preferred embodiment of the present invention will be described below.

Fig. 2 and Fig. 3 are structural diagrams of an automatic pressure recognition mouse according to a preferred embodiment of the present invention.

According to FIG. 2, when the mouse (320) is held by hand, sensors capable of detecting various human body information of various parts of the human body are installed on the mouse. For example, a pulse measuring sensor (322) used at the contact point at the end of the thumb, a body temperature sensor (323) at the contact site at the middle of the palm, and a sensor containing first and second The skin conductance/muscle conductance measurement sensor (321) of the electrode is installed at the position where the end of the index finger or middle finger (or ring finger) touches the mouse button. In addition to installing a circuit with the usual peripheral equipment (referring to the mouse) function, a circuit (311) capable of identifying human body information and signal processing human body information signals related to the present invention is also installed inside the mouse.

Fig. 3 is a circuit block diagram of an automatic pressure recognition mouse according to a preferred embodiment of the present invention. The electronic signal from the pulse measuring part (700), the body temperature measuring part (600) and the skin conduction/muscle conduction part (500) are respectively connected with the pulse measure sensor, the body temperature measure sensor and the skin conduction/muscle conduction of the mouse. Connected to the property measurement sensor, and input into the A/D converter (420) of the signal processor (400), converted into a digital signal, and properly processed in the signal processing and controller (410), and then The transmitter (800) is input to the microprocessor in the host computer and output to the monitor to inform the user of the current stress state. Therefore, let the user rest for a while or give an appropriate picture or sound or produce a smell or stimulate the user's sense of touch to relieve stress, thereby reducing stress to the greatest extent. Here, the output of the A/D converter (420) is temporarily stored in EEPROM (Electrically Erasable Read Only Memory) (430), and can be reused when needed or after a power failure. Also, the value of the non-digitized timer (described later) in the output of the pulse measurement part (700) is directly sent to the signal processor of the controller (410) and the control chip (ICI) on terminal (INTO) (see Figure 4).

FIG. 4 is a detailed circuit diagram of the signal processor (400) and transmitter (800) in FIG. 3. Referring to FIG. The output measured by the pulse measuring part (700) and the body temperature measuring part (600) and the output of the subsequently described skin conductance/muscle conduction measuring part (500) pass through the A/D converter (such as the MAX186 (AD1) used ) (420) into a digital signal that can be processed by the controller (410), and the converted digital signal is input to the signal processing and controller (such as used 89C52 (IC1)) and process the signal, and then send it to the host of the computer by the transmitter (such as the MAX232C (U1)) (80) through the sending terminal (TXD) (801). At the same time, the control signal from the host computer is input to the above-mentioned processor (IC1) through the above-mentioned transmitter (800) through the above-mentioned receiving terminal (RXD) (802). On the other hand, the digital signal of the A/D converter is temporarily stored in EEPROM (such as 93C46(U2) used) in the temporary memory (430), which can be passed through the controller when wanting to use the past data or during power failure (410) reuse. For the convenience of description, the description of the clock signal generator (Y1) and reset signal generator (U1) attached to the above-mentioned processor and the circuit elements (C1-C10, R1) and rated voltage used in the above-mentioned respective chips are omitted.

5a to 5d are detailed circuit diagrams of the skin conductance/muscle conductance measurement part ( 500 ) in FIG. 3 .

As depicted in Figure 5a, the second input/output terminals (P0.0 to P0.7) of the control processor of the controller (410) communicate with a Darlington (Darlington) that acts as a timer (520) The driver (such as the ULN2803 (U3) used) is connected, and the output terminals of the chip are connected to the relay terminals RY1 to RY7. For example, in order to measure the skin conductivity every 5 seconds, the relays (RLY-1 to RYL-7) Converted every 5 seconds. Each output terminal of the above-mentioned Darlington driver and the relay diode (D1-D7) are connected in parallel to achieve the purpose of stable control.

Meanwhile, the third input/output terminal (P0.0 to P0.7) of the above-mentioned control processor (IC1) connects the array resistor (AR1) in parallel with the D/A converter (such as the DAC0808 (DA1) used) The input terminals are connected, for example, the output digital signal is converted into a sine wave analog signal by a D/A converter (510) and then empowered to the second and third relays (RLY-2 and RLY-3) (refer to Fig. 5b) as a test signal. However, as shown in Figure 5b, the output analog signal of the above-mentioned D/A converter (510) is amplified by the first and second amplifying components (530, 540), and adjusted to a suitable operating bias voltage by the bias voltage device (550). later authorized. For the convenience of description, the description of the circuit elements (R2, VR1, C11) attached to the D/A converter chip and the recommended excitation are omitted. The first and second amplifying parts (530, 540) can be implemented with known amplifying circuits using operational amplifiers (OP1, OP2), resistor and capacitor elements (R3-R5, C12-C14) and biasing parts ( 550) can also be implemented using known bias resistors (R6, R7), so a detailed description of this part is omitted. Regardless, a bias resistor is preferred, with an operating bias of 1.2V.

The output analog signal (Vout) is empowered to the input (COM-2) of the second and third relays (RLY-2, RLY-3) whose output (NO-2) is connected to the seventh relay On the input (COM-1) of (RLY-7) and the first electrode (501), the output (COM-2) of the above-mentioned third relay is then connected to the input (NO-1) of the sixth relay (RLY-6) and on the second electrode (502). Meanwhile, the first and second electrodes (501, 502) are connected to the first and second input terminals (COM-1, COM-2) of the first relay (RLY-1), corresponding to the first and second input terminals of the respective input terminals. The first and second output terminals (NO-1, NO-2) are connected to the inputs (D, E) of the muscle conduction signal output (560). Similarly, the above-mentioned first and second electrodes (501, 502) are respectively connected to the input terminals (COM-1) of the fourth and fifth relays (RLY-4, RLY-5), and the output (NO -1) and the inverting output (N.C.) of the fifth relay are connected to the input (F, G) of the output (570) of the skin conductance signal.

What Fig. 5 c described is the detailed circuit diagram of muscle conduction signal output device (560), and it comprises an amplifying part (R8-R18, C15-18, OP3-OP5), filter part (R19-R24, C19-C26, OP6 -OP7) and amplification components (R26-R28, C27-C28), the finally detected signal is connected to the A/D converter (AD1) through the terminal (MUSCLE) (503). What Fig. 5 d has described is the detailed circuit diagram of the skin conductance signal output device (570), the current (i1,-i2) flowing in the first and the second electrode flows in from the input (F, G) respectively, the two currents The difference signal (i1-i2) is input from the contact point. The above-mentioned input signal is input into a buffer (580) composed of a diode limiter (D9, D10), a potentiometer (R29, R30) and a voltage follower (OP9), and the buffer is connected with the amplifier circuit (R31 -R33, C91, OP10) connection. The amplified finally detected signal is connected to the A/D converter through the terminal (SKIN) (504). Just for reference, the capacitors in the RC parallel circuit (R33, C91) with feedback from the amplifier circuit above are not necessary, but are preferred in the RC parallel configuration to prevent high frequency noise and oscillations.

FIG. 5e depicts the equivalent circuit of the above-mentioned FIG. 5b to FIG. 5d. Referring to Fig. 5e, the operation of the above skin conductance/muscle conductance measurement component (500) is described. For testing, the analog signal input from the D/A converter (510) is amplified and bias corrected (530-550), the amplified and corrected signal (Vout) depends on whether it is in the second and third relay (RLY-2 , RLY-3) are switched to be authorized to enter the first or second electrode (501, 502). Provided that the first relay (RLY-1) is open, the current from each electrode is only authorized to enter the output device (570) of the skin conductance signal through the fourth and fifth relays (RLY-4, RLY-5), from both The difference (i1-i2) of the current signal measured by two electrodes is amplified and authorized to enter the A/D converter (420) through the skin conductivity measurement terminal (504), provided that the first relay (RLY-1) is connected connected and the fourth and fifth relays (RLY-4, RLY-5) are disconnected, then the signals measured by the two electrodes are only authorized to enter the muscle conduction signal output device (560), and are amplified and Filtration is authorized to enter the A/D converter (420) through the muscle conductivity measurement terminal (503).

More precisely, the amplified and bias-corrected signal is input to the second relay chip (RLY-2), and the output of the relay chip is then input to the seventh relay chip (RLY-7), and the The second and seventh relay chips intermittently switch the input analog signal according to the switching signal of the second relay terminal (RL2) and the seventh relay terminal (RL7), and detect the resistance signal of the first electrode. At the same time, after the converted analog signal is amplified and bias corrected, it is also input to the third relay chip (RLY-3), and the output of the third relay chip is then input to the sixth relay chip (RLY-6), the third and sixth relay chips intermittently switch the input analog signal according to the switching signals of the third relay terminal (RL3) and the sixth relay terminal (RL6), and detect the resistance signal. Since the detected signals of the first electrode and the second electrode are bridged by the first relay chip and operate according to the first relay, the detected signals of the first electrode and the second electrode are connected with The fifth and fourth relay chips are connected and run according to the electrode signals of the fifth and fourth relay chips, therefore, the output terminal (N.C.) of the fifth relay chip and the output terminal of the fourth relay chip At the contact point where (NO-1) is connected, the difference signal between the first electrode and the second electrode is authorized. The above-mentioned difference signal is connected to another amplifier through a buffer, and the signal amplified by the above-mentioned amplifier detects the characteristics of skin conductance and is input to the above-mentioned A-D converter.

Finally, the above-mentioned signals are temporarily stored in the EEPROM (420), processed by the signal processor and the controller (410) at the same time, and sent to the host computer by the transmitter, so that the body index can be regularly detected, and then can be detected The stress status of computer users is monitored and displayed on monitors.

FIG. 6 is a detailed circuit diagram of the body temperature measuring component (600) in FIG. 3 . As described in Figure 6, the body temperature measurement part (600) is compared with the base signal generated by the base signal generator (610) in the base signal generator (610) in the comparator (620) by the signal measured by the body temperature measurement sensor (THERMIST) (601) and magnified and concretized. The base signal generator (610) consists of a zener diode (ZD1) connected in series with a resistor (R34) and in parallel with a capacitor (C29), a variable resistor connected to a resistor (R35) and another resistor (R36) device (VR2), a comparator (620) composed of an operational amplifier (OP11), a resistor (R37) connected to the base signal generator (610) and the inverting input terminal of the operational amplifier, and a resistor (R37) connected to the body temperature measurement sensor (601) and the resistor (R38) of the input terminal of the non-inverting side, a capacitor (C30), and the resistor (R39) making up the feedback loop.

The amplified signal is offset adjusted by an offset adjuster consisting of a variable resistor (VR3) and resistors (R41, R42), and an operational amplifier (OP12), an input terminal resistor (R40 ) and a general-purpose amplifier (640) of a feedback RC parallel circuit (R43, C92) for amplification, and then input to the A/D converter (420) of the signal processor (400) through the body temperature measurement terminal (TEMP) (602) , processed as a measurement signal of skin conductance.

7a to 7d are detailed circuit diagrams of the pulse measurement component (700). As depicted in Figure 7a, the pulse measurement component (700) includes an optical transmitter and receiver (710), a first amplification component (720), first and second filters (730, 730, 740) connected to the output (A) of the first amplifying component described in FIG. 7c and the second amplifier (750) described in FIG. The described trigger circuit (760) is connected to terminal C of said second amplifying part, and to the third amplifying part (770).

In more detail, as shown in Figure 7a, a fixed level of light is emitted from the LED (Light Emitting Diode) (701) of the light transmitter and receiver, and the light emitted from the LED is captured by the picture transistor (PHOTO TR) (702) Receive. Here, the brightness of the received light varies with the surface area of the finger in contact with the mouse or with the pressure, which varies with the pulse of the finger. Therefore, the light emitted from the LED is read differently from the light passing through the light receiving element. Therefore, the pulse can be easily detected by reading the above-mentioned changes. Resistors R44 and R45 are bias resistors.

The signal received from the receiving element (702) is amplified by a first amplifier (720), which consists of an operational amplifier (OP13) whose input side is coupled via a capacitor (C31), a bias resistor (R46 to R48), a feedback capacitor (C32) connected to the receiving element (702).

The amplifying part (720) is connected to the first and second filters (730, 740) by the terminal A, and the amplified measurement signal, through the terminal A, is connected with the first filter (730) and Filtered by a second filter (740) coupled with a coupling resistor (R55), it is immediately amplified by a second amplifying component (750) connected through terminal B (cf. Fig. 7c). It is then input to the A/D converter (420) of the signal processor (400) at the next endpoint through a coupling capacitor (C25) and a pulse measurement sensor (PULSE) (703). The input on one side of the second amplifying component (750) is preferably adjusted by a variable resistor (VR4). Meanwhile, the reason for the above-mentioned filtering is to filter the light of the computer monitor or the fluorescent lamp (for example, 60Hz color lamp) so as to only respond to the light of the characteristic wavelength from the LED (701).

Like the first amplifying part (720), the second amplifying part (750) also includes an operational amplifier (OP14) connected to terminal B through a coupling capacitor (C33), a bias resistor (R49-R50), and RC in parallel circuit (R48 and C32, R51 and C34), which form a feedback loop. However, as mentioned above, the input terminal on the side of the second amplifying part is connected to the offset adjustment circuit (VR4). Likewise, the aforementioned first and second filter circuits (730, 740) may include resistors (R52-R54, R56-R58), capacitors (C36-C39, C40-C43), and amplifiers (OP15, OP16 ).

Simultaneously as shown in Figure 7d, on the output terminal (C) of the above-mentioned second amplifying part (750), a Schmidt (Schmidt) trigger circuit (760) is provided, so that the above-mentioned received light can be Therefore, in the measured pulse measurement signal, defining waves exceeding a predetermined peak value, and then counting the number of said waves within a predetermined time (for example, 1 minute), the pulse rate can be calculated up. As shown in Figure 7d, the Schmitt trigger circuit (760) has the signal of the amplifier circuit (C44, R59, Q1) that amplifies the pulse measurement signal of terminal C as input, including resistors (R60-R61, C45) and A timer (such as the HAI7555 (U5) used) producing a defined signal output is connected, and the output itself is then amplified by an amplifier circuit (770) comprising resistors (R63-R64), capacitor (C46) and transistor (Q2), It is then directly input to the input terminal (INTO) of the signal processing and controller (410) without passing through the A/D converter. In order to remind the computer user when counting the number of pulses, an alarm element (LED, R62) (780) is connected in parallel on the Schmidt trigger circuit.

The operation of the above-mentioned pressure measuring device is described below with reference to FIGS. 1 to 4 and FIGS. 8 to 9 . Fig. 8 is a structural diagram of a stress recognition program related to the present invention, and Fig. 9 is an embodiment of a computer monitor screen displaying pressure information measured according to the present invention.

First, when the computer user touches the peripheral device with the human body (for example, when holding the mouse with the right hand and touching the human body signal measurement sensor in Fig. 2 respectively), the pulse, body temperature, skin conductance value/muscle conduction value of the computer user The pulse, body temperature, skin conductance/muscle conductance measurement components are used to measure the sexual value within a fixed time interval (for example, 5 second intervals), and the measured pulse, body temperature, skin conductance/muscle conduction value and other human body signals , as shown in Figure 3 and Figure 4, is input to the A/D converter (AD1) through the input terminal (CH0-CH3), and is converted into a digital value, and then input to the controller ( 410) in the processor (IC1), while being temporarily stored in the EEPROM (U2), and then sent to the host computer (200) through the transmitter (800). In the signal sent above, 4 bits are allocated for each human body signal, and may also contain 16 bits. However, since skin conductance better reflects the stress state than muscle conductance, the calculation of the muscle conductance measurement and the coefficient of variation of the muscle conductance can be skipped, in which case the transmitted signal consists of 12 bits of data .

The measured pulse, body temperature, and skin conductance of the computer user are measured continuously at weekly or monthly intervals, and a standard stress value for the user is generated. Therefore, this standard value may vary depending on the user or age.

The data sent to the host computer (200) is analyzed by the pressure recognition program in the pressure recognition program memory (230) (referring to Fig. 1), and Fig. 8 is a structural diagram of the pressure recognition program. According to the present invention, the pressure recognition program includes data Processing unit (231): pulse variation coefficient (α) data processing unit (232), body temperature variation coefficient (β) data processing unit (233), skin conductivity variation coefficient (γ) data processing unit (234) and muscle conductivity Coefficient of variation (γ) data processing unit (235), and calculation unit (236) and pressure index indicator (237).

(式中，P是4位的脉搏测量值)

(式中，T是4位的温度值)Pulse variation coefficient (α) data processing unit (232), body temperature variation coefficient (β) data processing unit (233), skin conductivity variation coefficient (γ) data processing unit in human body signal variation coefficient data processing unit (231) (234) and muscle conductivity variation coefficient (γ) pulse variation coefficient (α), body temperature variation coefficient (β), skin conductivity variation coefficient (γ) and muscle conductivity variation coefficient (γ) in the data processing part (235) ) are calculated by the transmitted 4-bit human body signal data, for example, the formula for calculating the standard value of a specific person is as follows:

(In the formula, P is the pulse measurement value of 4 digits)

(where, T is the temperature value of 4 digits)

Likewise, the skin conductance and muscle conductance values (γ, δ) are values in the range of 0-4095, which can be manually selected according to the program.

In the next step, in the calculation unit (236), the coefficient of variation of the human body calculated by the above formula and calculation method is combined, and finally the pressure index (ST) is calculated. In order to reflect the importance of each coefficient of variation to the actual pressure, the The weighted values are multiplied by their respective coefficients and then combined according to Equation 2. [Formula 3]

ST=aα+bβ+cγ+dδ (wherein, a, b, c and d are weighted values) the embodiment of the coefficient of variation of the human body calculated above, as shown in Figure 9, is exactly pulse coefficient of variation (α: Pulse), The coefficient of variation of body temperature (β: Temp), the coefficient of variation of skin conductance (γ: GSR) and the index of stress (ST: Stress) are displayed on the monitor through a stress index indicator ( 237 ). In the preferred embodiment in Figure 9, the muscle conductance value is not taken into account for the reasons mentioned above. In the stress graph, the stress index (ST) calculated above shows the stress index in the past week and the stress index in the past month, which allows the user to check the change of the current stress state.

Therefore, if the stress faced by the computer user is judged, an appropriate stimulus is applied to the user or a warning is displayed on the monitor to stop the user and draw the user's attention, and ultimately reduce or eliminate the user's stress. pressure.

For example, to compare the stress of the last week or month, for convenience, the state is divided into A state: normal state, B state: a little stressed state, C state: more stressful state and long-term rest is necessary. In the case of states B and C, the fragrance injection device (140) is activated automatically, but the activation process can be programmed so that the amount injected is 0.2 for state B and 0.4 for state C.

On the other hand, FIGS. 10 to 17 show another preferred embodiment of applying the automatic pressure recognition device of the present invention to a computer mouse. FIG. 10 is a circuit diagram of a click function and controller of a conventional mouse, FIG. 11 is a circuit diagram of a skin conductance measurement part, and FIG. 12 is a circuit diagram of a pulse measurement part.

As shown in Figure 10, a traditional photoelectric mouse with a three-dimensional click function includes a photoelectric transmitter/receiver (R101, D101, Q101) and a mobile detection signal processor (U101, XT101, C101-C103, Q102) X-Y axis direction movement detector (330), a switch part (340) with three-dimensional conversion input (SW1-SW3), a Z-axis direction movement detector (350) with encoder (ENC1) detecting wheel rotation, An operation indicator (360) that notifies whether the mouse is operated with a light-emitting diode (D102, D103), a transmitter (370) that sends and receives data between a computer host, and a control above-mentioned and auxiliary circuit element (R102 - Processor chip (IC2) for R110, C104-C105, D104, XT102). Here, the above-mentioned processor chip (IC2) is to make the circuit of a signal processor (400) in Fig. 4 into a chip, and include A/D converter and controller etc., and except X-Y axis direction and Z In addition to axis movement and click control functions, it also has the function of detecting skin conductance and pulse rate. The above-mentioned photoelectric mouse is subject to, for example, the IBM protocol (P/S2).

For the above, the processor chip (IC2) sends a test signal to the input terminal (R112) of the skin conductivity measurement part (500') and conducts from the above-mentioned skin through the A/D converter of the processor chip (IC2) The output terminal (OP10) of the property measurement part (570') receives the measurement signal (see FIG. 11). Likewise, it receives the detection signal of the pulse detector (700') from terminal C through the A/D converter inside the processor chip (IC2), and receives the measured pulse signal through the timer in the processor chip (IC2) The comparison signal (described below) (see Figure 11).

The skin conductivity measuring part (500') according to the second embodiment of the present invention will be described below with reference to Fig. 11 . As shown in FIG. 11, the on/off signal generated from the processor chip of the signal processor is connected to the base terminal of the switching transistor (Q103) through a resistor (R111), and controls the activation of the relay (590).

Simultaneously, the signal from the processor chip is amplified by an amplifying part including an amplifier (OP1) and resistors (R112, R114), and then input to one terminal (NO_1) of a relay (RLY_1) through an output resistor (R114). Another terminal (COM_1) matching the above-mentioned terminal (NO_1) is connected to the first electrode (GSR1) (501). On the other hand, the second electrode (GSR2) (502) is connected to the output (570') on the second input/output terminal (NO_2, COM_2) matching the terminal (NO_1, COM_1).

Therefore, provided that the ON/OFF signal from the processor chip is on, the amplifying part (530') functioning as an input is connected to the first electrode (501), and voltage values of many voltmeters are applied to the human body, causing a An electrical current flows, the amount of which corresponds to the computer user's skin conductance, while the second electrode (502) is connected to the output (570'), so that the detected skin conductance output signal is passed through including a buffer (580') and amplified The component's output device (570') is sent to the A/D converter of the signal processor chip (IC2). The output device (570') and buffer (580') in the above-mentioned second preferred embodiment are the same as the skin conductance signal output device (570) and buffer (580) in the first preferred embodiment described in Fig. 5d ) are almost the same, and the configuration of circuit elements is also the same, so circuit elements having the same function are denoted by the same reference numerals. However, in the first preferred embodiment the input terminal of the amplifier circuit switch is grounded, but the only difference in this preferred embodiment is that it is connected to a low voltage of 2.5V.

Next, the pulse measuring part (700') in the second preferred embodiment according to the present invention is described below with reference to FIG. 12 . As shown in Figure 12, according to the second preferred embodiment of the present invention, the pulse measurement unit (700') also includes an optical transmitter and receiver (710'), and the first amplifying unit (720'), connected to the above-mentioned The second amplifying means (750') at the output terminal (A) of the first amplifying means is connected to the comparator (790) at the output terminal of said second amplifying means. That is, compared with the pulse measuring part (700) in the first preferred embodiment, the pulse measuring part (700') in the second preferred embodiment does not use filters (730, 740), and the first amplifying part (720') is simply and directly connected to the second amplification component (750').

The light transmitter and receiver (710'), the first amplifying part (720') and the second amplifying part (750') in the pulse measuring part (700') in the second preferred embodiment are also compatible with the first (710, 720, 750) in the preferred embodiment are the same, and the configuration of the circuit elements is also the same, therefore, the same reference numerals are used for the circuit elements with the same function. However, in the first preferred embodiment, the input terminals for switching the first and second amplifying parts are grounded, but this preferred embodiment differs therefrom only in that they are connected to a low voltage of 2.5V, and at The variable resistor (VR4) for offset adjustment is not used on the input terminal switched by the second amplifier circuit in the two preferred embodiments.

The output signal of the output terminal (C) of the above-mentioned second amplifier (750') is also sent to the A/D converter of the signal processor chip (IC2).

The operation of the second preferred embodiment of the present invention is described with reference to FIGS. 14 to 17 . Fig. 13 is an input/output signal wave diagram of the comparator in Fig. 12, Fig. 14 is the schematic diagram of mouse signal processing, Fig. 15a and Fig. 15b are the structural diagrams of the mouse signal data in Fig. 14, and wherein Fig. 15a shows the mouse An example of click signal data, while Figure 15b is an example of display anthropometric signal data.

Meanwhile, there is a method of receiving information of the human body within a short time interval (for example, 1/100-1/200 second) and determining the time between the maximum value and the next maximum value, as in the method of measuring the pulse change by the detected pulse signal. The time interval between is regarded as a cycle, but as shown in Fig. 13(a), the wave may be disturbed by noise. Therefore, as shown in Figure 12, the comparator (OP101) and the potential difference resistor (R115, R116) in the comparison part (790) are mostly both, so that if the detected signal is higher than the reference voltage (Vref) , the "high" signal is output, if the detected signal is lower than the above reference voltage, the "low" signal is output, therefore, the digital processing method shown in Fig. 12(b) is feasible, in this case , even if noise is generated, the pulse count will not be affected, and accurate coefficients can be obtained. This digital signal does not require A/D conversion and can be authorized to be sent directly to a timer within the processor chip (IC2).

In FIG. 14, a hardware block diagram for processing signals sent from the mouse to the computer host is depicted. A 4-bit signal is sent from the mouse (300) to the device driver (240) in the host computer (see Figure 15). Two types of 4-bit signals are sent to the device driver (240), and the type of this data format is interpreted by the device driver according to whether the highest bit is "0" or "1". For example, as described in Figure 15a, if the highest bit is "0", the device driver (240) recognizes the data sent as the general click data of the mouse, and converts it into a window program processor (250) The processed data, and the window program processor (250) can set the remaining 7 bits as the mouse button state, and each subsequent 8 bits as the movement value in the X, Y, and Z axis directions. If the highest bit is "1", the device driver interprets the sent signal as human body information and converts it into data so that it can be processed in the pressure recognition program processing part (260), which is a kind of application, it can be set so that the remaining 7 bits and subsequent 8 bits (15 bits) can be interpreted as pulse timer measurements and each subsequent 8 bits as second electrode current and skin conductivity values (Refer to (a) in FIG. 15a). However, as the first preferred embodiment of the present invention, if it is intended to measure body temperature and muscle conductivity value, and intends to measure pressure by integrating 4 parameters, then the remaining 7 digits after the highest digit can be set as body temperature, And each subsequent 8 bits are used as muscle conductance, second electrode current and skin conductance values, as shown in b in FIG. 15 .

In addition, the human body information processing method in the stress recognition program processing part (260) is the same as that in the first preferred embodiment. That is to say, first the coefficient of pulse variation (α) is calculated based on the pulse timer value, and then the coefficient of variation of skin conductance (γ) is calculated based on the value of skin conductance. These data are combined to determine the pressure by formula 4 index. [Formula 4]

ST=aα+cγ (where a and c are weighted values)

In this case, it is better to take a<c because the skin conductivity coefficient of variation better reflects the pressure. And, the coefficient of variation of the human body calculated above, that is, the coefficient of variation of pulse (α: Pulse), the coefficient of variation of skin conductance (γ: GSR) and the pressure index (ST: Stress) are displayed on the monitor through the pressure index indicator (237) .

The operation of the second preferred embodiment is described below with reference to the flowcharts of FIGS. 16 and 17. FIG. What Fig. 16 shows is the flow chart of the mouse operation in Fig. 12 to Fig. 14, and what Fig. 17 shows is the flow chart of the human body information translation and delivery subroutine.

First, as shown in FIG. 16, when the mouse operation starts (S1), the processor chip (IC1) performs initialization (S2), such as setting the mouse timer and variables. Then, restore the X-Y axis direction movement detector (330) (S3), and then detect the movement in the X-Y axis direction through the 4-phase signal mixed with the 2 pulses of the X-Y axis direction movement detector, and then pass the encoder (ENC1 ) to detect movement in the Z-axis direction (S4).

Simultaneously, except the usual operation of the mouse, the mouse of the present invention can also check the communication (S5) with the computer in a fixed time interval, if there is no command input from the computer host, then send the mouse data to the computer (S6), because the sending tor can operate in output mode. However, if command data is input, unlike the above case, data processing is performed (S7), and the subroutine of translating and sending computer user body information in FIG. 17 is executed (S8).

The subroutine for translating and sending the computer user's body information is described with reference to FIG. 17 . When human body information translation starts (S11), the processor of the mouse sends a relay "on" signal to the skin conductivity measuring part (500') within a predetermined time interval (for example, 1/100 to 1/200 second) to start relay (RLY1), and authorize a 1.2V voltage to the first electrode (501), and receive a current signal through the second electrode (502), thereby measuring the conductivity of human skin, and similarly, through the pulse measuring part (700' ) receiving a detected signal through the optical transmitter and receiver (710) within the aforementioned predetermined time interval. On the other hand, these signals are received into the A/D converter and digitized, and the controller translates these digital values and temporarily stores them in buffers (S12, S13). In addition, these stages of translation and temporary storage are repeated for a certain length of time (S14). Simultaneously, pulse detection signal is processed into digital value by comparator part (790) among Fig. 13, then directly input timer, therefore, pulse can be directly counted in the processor of mouse, and timer value is also translated (S15 ). Therefore, as shown in FIG. 15b, this human body information is formed into a structure and sent to the host computer (S16). Subsequent processing is to return to S4, so that the mouse can restore the original click function (S17). In the process of Fig. 17, once the buffer is full, the mouse automatically sends the human body information to the computer host, but it is also feasible to send the human body information when obeying the sending command of the computer host.

18 to 24c show the pressure measurement experiment method and result data using the pressure measurement device of the present invention to prove that the pressure measurement value according to the pressure measurement device method of the present invention is sufficiently reliable.

Figure 18 is a block diagram of the overall experimental test of the pressure measuring mouse of the present invention, Figure 19 is a screen of an example of the calculation test stimulus program used in the experiment of Figure 18, and Figure 20a and Figure 20b show the calculation test experiment and the CPT experiment respectively A flow chart of the process, Figure 21 shows the physiological signals collected from the experiment, Figure 22a and Figure 22b are examples of the questionnaire used in Figure 20, which are individual psychological and physical stress assessment forms, Figures 23a and 23b are examples of heartbeat times and GSR analysis procedures, respectively, while Fig. 24a to Fig. 24c show examples of changes in heartbeat, GSR, and skin temperature according to changes in calculation and CPT experiment time, respectively.

As shown in Figure 18, at first a sensitivity mouse (300) of the present invention and a biopac (920) equipment irrelevant to the present invention are connected on the host computer (200), to various human body information such as PPG, RSP, GSR, ECG, EEG and SKT for calculation. Simultaneously with the experiment, by stimulating the experimental volunteers with a separate computer monitor (910) to cause their stress, the human body information of the experimental volunteers is analyzed (930) on an analysis device (930) according to the MP100WS program ).

Volunteers for the above experiments were 10 male and female college students aged 20 to 25, and were given and guided calculation tests and CPT (Continuous Task Test) experiments as stress stimuli. Among the measured physiological signals, PPG, RSP, EEG, and ECG are measured by a biopac device irrelevant to the present invention, while GSR and pulse signals are measured by the automatic identification mouse of the present invention, and body temperature is measured by a thermometer.

In order to find out the actual mental state of the experimental volunteers, a personal survey of the mind and body was carried out. With regard to data analysis, parameters were extracted using appropriate analysis tools for each measured physiological signal, and a stress index was obtained after analysis.

The calculation test method, as one of the stress stimulation methods, is a method reflecting the ISO10075-2 standard, and is a program developed with Visual Basic by the School of Electronic Engineering, JUN-BUK University, with which volunteers Simply add up the numbers displayed on the screen, if the result is the same as the number displayed on the screen, they will press the foot switch remote button 1, if the result is different, they will press the foot switch button 2, the time is within 3 seconds. In addition, there are three digits of fifteen minutes, four digits of fifteen minutes, a total of thirty minutes of stress stimulation. An example of counting test stimuli is shown in Figure 19.

CPT (Continuous Task Test), as another method of stress stimulation, was proposed by "Rosvold" in 1956 to detect the loss of attention in patients with minor epilepsy, and it was used in this study because in The demands of sustained attention in experiments can lead to mental stress. A number from "0" to "9" is randomly displayed on the screen every second. Once the "0" in the number appears on the screen, the volunteer must press the foot button and continue counting. When the line frequency of the computer is 70HZ, the digital display time is set to 29 milliseconds. The number of times "0" is displayed is one hundred and twenty times out of the total number of display times of four hundred and eighty times. The test result is calculated as the ratio (%) of the current stimulus to the stimulus felt by the volunteer. In this case, the participants were compared, and if the concentration of attention was poor, the rate of correct answers was low, so the data within the error range of CPT ± 10% were identified as valid attention and used for Under analysis.

In the personal questionnaire of psychological and physical stress, a 7-point scale analysis system is prepared, referring to existing theories and the "Psychological Scale Handbook" compiled by the Behavior Science Research Center of Korea University, This is shown in Figures 22a and 22b.

The sampling frequency of physiological signals detected by Biopac equipment has been set to 512Hz. And the physiological signal of the mouse is stored every 1 second through automatic pressure recognition. The temperature was recorded every minute according to the thermometer reading.

Physiological signals were detected from 20 experimental volunteers, the same volunteers were stimulated with computational tests on the first day and CPT on the second day.

The physiological signal detection time and experimental steps are carried out according to Fig. 20a and Fig. 20b. As shown in Figure 20a, firstly, explain the purpose of the experiment and calculate the steps of the test experiment (S21), attach and adjust the electrodes (S22), detect the physiological signal in the steady state (S23), ask for written answers to the survey in the steady state table (S24). In the next step, carry out the task practice and response (S25) of exerting pressure, take a short rest (S26), perform actual work after 5 minutes (S27), and then ask to fill in the questionnaire of the stress state (S28).

At the same time, as shown in Figure 20b, in the CPT experiment, first, explain the purpose of the experiment and calculate the steps of the test experiment (S31), attach and adjust the electrodes (S32), and detect physiological signals in a steady state (S33), requiring written The questionnaire in the steady state is answered (S34). In the next step, carry out stress-imposing task practice and response (S35), take a break (S36), and after five minutes, perform actual work (S37), and then require a written answer to the questionnaire on stress status (S38).

(a) to (e) in FIG. 21 describe representative physiological signals, which are PPG, RSP, GSR, EEG, and ECG signals in sequence.

Considering the entire experimental time, regarding the pressure stimulation time, the calculation method of stimulation is thirty minutes, and the CPT method is eight minutes, so under the assumption of the passage of time as a stress factor and affecting physiological signals, 30 minutes of calculations were collected The test stimulus data was divided into 10 data segments every 3 minutes, and analyzed. The 8-minute CPT data was collected, divided into 8 data segments every 1 minute, and analyzed. Therefore, in the test stimulation data calculated according to the elapsed time, a change of the physiological signal every 3 minutes can be observed, while a change of the physiological signal every 1 minute can be observed in the CPT stimulation data. Here, the difference between the calculation test stimulus data and the CPT stimulus data is that in the calculation test, the stimulation time is 30 minutes, which is longer, while in the CPT, the time is shorter, 8 minutes, and the calculation test is a simple The mental arithmetic test, so the volunteers acclimated to the stimulus after a certain amount of time, but in CPT, where the stimulus levels are higher, eye fatigue increases over time.

In this experiment, the "Labview" program for data analysis was used. The program's data processing and database structure are very easy, and all processes can include graphics programs, so it is not only used in the field of physiological signal processing and analysis, but also widely used in other fields.

In the ECG, the heartbeat is analyzed as a variable, and the change in heartbeat is expressed as a percentage relative to steady state. This is because the standard state varies from person to person, so it is impossible to compare the data of several people with a simple absolute value. Figure 23a depicts the heartbeat calculation procedure.

GSR shows the overall trend of galvanic skin response as an index to illustrate the grade of the sympathetic nervous system, which can be analyzed by looking at the overall trend over a time range. In this study, the average amplitude value of GSR was found and expressed as a percentage relative to the steady state. Figure 23b depicts the GSR program used in the experiments.

The EEG is analyzed by frequency analysis, the frequency range is divided into delta waves (below 4Hz), theta waves (4~8Hz), alpha waves (8~13Hz), beta waves (greater than 13Hz), and then the power in each range is found value, and calculate α/(α+β), expressed as a percentage relative to the steady state in each time domain.

Respiration is measured using RSP, the chest muscles contract and expand as you breathe in, respiration is measured by detecting changes in electrical resistance as the chest muscles change, and by analyzing the number of peaks or breaths during inhalation and exhalation to see what happens due to pressure The breath rises. In this experiment, the number of respirations was found and expressed as a percentage relative to steady state.

When the sympathetic nerves are active, the skin temperature has a tendency to drop due to the constriction of the blood vessels. Skin temperature data are also expressed as a percentage relative to steady state.

Regarding the data obtained from the individual surveys, the points selected for each volunteer were averaged and compared between the steady state and the stimulated state.

The results of the survey were analyzed to check whether the stimulation method in this experiment was suitable for inducing stress. Among the 12 questions about mental stress in the calculation test, except for "the mind feels relaxed" and "feeling bored", the rest of the questions in the stimulus The post-stimulation changes more sharply than before the stimulation. Among the 13 questions about physical stress, except for "eyelid spasm", "feeling sleepy", and "eye fatigue", the rest of the questions changed more sharply after the stimulation than before the stimulation. In the case of the computational test, the time taken to detect a steady-state physiological signal was 10 minutes, during which time a person stared at a place such that he or she became bored before receiving the stimulus. Likewise, during the 30-minute calculation test, one is constantly staring at 4-digit numbers on a screen and doing mental calculations, so there is some eye movement, and it can be seen why the eyes are less tired.

In addition, special attention should be paid to the fact that in terms of mental stress, "feeling uneasy", "feeling irritated", and "becoming angry" have great changes, and in terms of physical stress, "shoulder pain", "feeling dry mouth ", "Arms and legs hurt" have great changes. This suggested that the computational test did stress the experimental volunteers, meaning that if changes in physiological signals over time were found, they could be used as an index of stress levels.

In the CPT test, for mental stress, except for "felt bored", the rest of the questions changed more sharply after the stimulus than before the stimulus. For physical stress, except for "feeling sleepy", the rest of the questions changed more sharply after stimulation than before stimulation. The reasoning behind the items "feeling bored" and "feeling sleepy" can be explained by the same reasoning as in the counting test. However, the results of "eye fatigue" before and after the stimulation are different in the calculation test and the CPT stimulation. less fatigue, but in the case of CPT, the stimulus itself is immediately discerning the blinking digits in a shorter time, causing more eye fatigue, which is why the CPT stimulus will cause more eye fatigue than the steady state .

The graph of the mean percent rate change of beat counts for the calculated and CPT tests is shown in Figure 24a. Each value in the graph represents the percentage increase compared to the steady-state beats before stimulation, which shows the overall increase in beats during the stimulation compared to the steady-state. In the calculated test case, at the 18-minute mark, when the first level (3 digits) of stimulation ends and the second level (4 digits) of stimulation begins, the difficulty of the test increases, as can be seen with an increase in the number of heartbeats to a maximum trend. Also, in the CPT test stimulus, there was some increase in the initial period, while the largest change was shown at the 6 min mark. This could explain that at the beginning of the stimulus there is some increase from the steady state due to tension, after a period of time the person adapts to the stimulus and then feels a greater psychological burden as more time passes.

Therefore, according to the change of heart rate, the pressure is divided into three stages: 1, 2, and 3. First, in the case of the calculation test, the maximum pressure at the 18th minute mark, which is the start point of the second stage (4 digits), is set as the stage 3 pressure, and the stage 2 and stage 1 pressure values are set as the stage 3 pressure, respectively. 50% and 25% of the pressure value in 3 stages. In the case of the CPT test, the maximum pressure at the 6-minute mark was set as the stage 3 pressure, while the stage 2 and stage 1 pressure values were set the same as those set for the calculation test. That is, setting the steady state as a reference value, when the heartbeat increases, the pressure is divided into different stages as in Table 1, respectively.

Next, the analysis was carried out in the GSR measurement experiment, although the calculation test was carried out for a period of time, it is difficult to imagine that the pressure is continuous due to the nature of the stimulus, and the experimental volunteers showed the characteristics of adapting to the stimulus over time. Therefore, the inference of GSR shows a decrease rather than an increase. Like the CPT stimulation, although the time is short, the eyes will become tired due to repeated giving of the same stimulation, but the tendency to show tension will decrease. The average GSR response to the two stimuli is shown in Figure 24b. However, overall observations can be made to say that changes in GSR (skin conductance) reflected the volunteers' exposure to stress better than other physical changes.

In calculating the test stimuli, the largest change occurred at the beginning of the first level stimulus, and when the difficulty of the level increased at the 18 minute mark, the change increased by a large amount, which was the second level (4 digits) stimulus Reaction. Also, in the CPT test case, the greatest change occurs at the onset of the stimulus and declines over time. Therefore, in the case of GSR, using the calculated test as a reference, set the 3rd minute mark as stage 3 and the 18th minute mark as stage 2. Phase 1 is set at 50% of Phase 2. For CPT, the first 1 min was set as phase 3, while values of 50% and 25% of the value of phase 3 were set as phase 2 and phase 1, a summary of the results is shown in Table 2. Although the values of these variables as changes in heart rate are not found at the same point, they may also account for different responses to the same stimulus.

It is known that skin temperature decreases under stress conditions, and the fact that skin temperature decreases due to stimulation has been verified in this study, and the overall change in its mean value is shown in Fig. 24c. In the case of the calculation test stimulus, the skin temperature showed a slow decreasing trend over time since the stimulus was not sudden, whereas in the case of the CPT test stimulus, the decreasing trend was not as strong due to the shorter period of data collection. The earth is revealed. However, when comparing individual volunteers, the variation between individuals was very large. This is because skin temperature varies greatly from person to person depending on ambient temperature and an individual's sensitivity to skin temperature changes.

In the case of EEG, among the alpha and beta waves of the brainwaves, the alpha waves decrease proportionally due to this effect due to a decrease in concentration and an increase in tension, which confirms that psychological and physical stress has been exerted by calculation and CPT stimulation , but there is no meaningful difference in how the variables change over time.

In the case of testing respiration, when a stimulus due to stress or tension is applied to the sympathetic nervous system, an increase in respiration can be seen, which was observed in this study, however, no significant changes were found in the shape of the change. difference in meaning.

Through this study, it has been confirmed that when stress is applied, changes in variable values of physiological signals are shown below, and an index expressing the stress level based on GSR changes in the number of heartbeats and changes has been found.

First, the findings were analyzed to see if the stimulation methods used in this study were suitable for stress generation. Regarding the psychological and physical stress questionnaires used in the calculated test stimulus and the CPT stimulus, the levels in them changed significantly after the stimulus than before the stimulus. That is, it has been confirmed that if changes in physiological signals over time can be found, they can be used as indices representing stress levels.

Second, not only the skin temperature of each person varies greatly, but also has a large proportion of changes due to the sensitivity of the ambient temperature and the temperature change of each person's skin. Therefore, it is relatively difficult to set the reference value. Although the volunteers were confirmed to be in a state of stress through the observation of the brain's alpha wave and breathing rate, there is still no consistent change over time.

Third, by analyzing the number of heartbeats and GSR, it is possible to find out that due to the calculation of the stress index value of the test stimulus and the CPT stimulus, when the stress level is divided into three stages, the relative physiological signal variables representing the respective stages can be calculated by formula 5 The percentage change from the reference value. [Formula 5]

Pressure level 1: HR=103×HR _ref or GSR=127×GSR _ref

Pressure level 2: HR=105×HR _ref or GSR=154×GSR _ref

Stress level 3: HR = 109 × HR _ref or GSR = 183 × GSR _ref where HR sets the reference value for the calculated test stimulus and GSR is found using the exponential mean obtained by calculation and CPT stimulus. Similarly, ref is the initial value at which the volunteers entered the stimulation state, and since there is a significant difference in absolute value among individuals, it is used as a reference value for setting each individual, and changes are measured from this value. [Table 2] step 1 step 2 step 3 Computing test stimuli 102.43% 104.86% 109.72% CPT stimulation 101.96% 103.92% 107.84% [Table 2] step 1 step 2 step 3 Computing test stimuli 132% 164% 178% CPT stimulation 122% 144% 188%

[Industrial applicability]

As previously described, according to the automatic pressure recognition peripheral device and the pressure measurement system using a computer of the present invention, by inserting a simple circuit into the existing peripheral device, the peripheral device can automatically measure various human body information and detect Levels of stress or fatigue, thereby providing computer users with data that can be used to reduce or eliminate stress.

Claims (9)

1. A pressure measurement system using a computer, comprising: a computer peripheral device (300) of a human body information measuring part capable of measuring the human body information of a computer user, a device (400) for processing the above-mentioned measured human body information, A device (800) for sending the above-mentioned processed human body information signal to a host computer; and a computer host (200) equipped with a pressure recognition program, which calculates the coefficient of variation of the human body information from the above-mentioned sent human body information signal and calculates the coefficient of variation of the human body information through the above-mentioned The coefficient and calculation value set the weighting value to calculate the pressure index. 2. The pressure measuring system as claimed in claim 1, wherein said human body information measuring unit includes at least one skin conductivity measuring unit and one pulse measuring unit. 3. The stress measurement system according to claim 2, wherein said human body information measurement part further comprises a body temperature measurement part and a muscle conductivity measurement part. 4. The stress measurement system according to claim 1, wherein said signal processing device comprises a device (420) for A/D converting the detected human body signal, and a device (420) for temporarily storing the detected human body signal information equipment (430), and a controller (410). 5. The pressure measurement system as claimed in claim 1, wherein said pressure identification program further comprises a pressure index indicating part for displaying the calculated pressure index. 6. The pressure measurement system according to claim 1, wherein: said main computer includes a pressure recognition program processor (260) in addition to a window program processor (250) for processing input/output of a general-purpose computer, The computer host is also equipped with a device driver (240), and when data is input from the peripheral device, if the input data is human body information data, the input data is converted to the pressure recognition program processor (260). 7. The pressure measurement system of claim 1, wherein said computer peripheral device is a mouse for use with a computer. 8. A computer peripheral device (300), comprising: a human body information measuring component for measuring the human body information of a computer user, a device (400) for signal processing the measured human body information, and a device for sending The human body information signal processed by the above signal is sent to the device (800) of the host computer, wherein: the human body information measurement component includes a skin conductivity measurement component (500; 500') and a pulse measurement component (700; 700') ; The skin conductivity measurement component includes a first electrode (501) for authorizing a test signal to the skin, a second electrode (502) for inducting a human body information signal from the skin, and for outputting a signal induced from the second electrode. The signal to the output device (570; 570') of the signal processor (400); the pulse measurement part includes an optical transmitter and receiver (710) for amplifying and outputting the detected signal to the signal processing The amplifying part of the amplifier is used to compare the reference voltage (Vref) with said amplified signal and digitize the signal to count the comparator part (790). 9. The computer peripheral device as claimed in claim 8, wherein said computer peripheral device has a click function and is a detection device moving in the X-Y axis direction.

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