JP2020146344A - State detection device, state detection method, and program - Google Patents

Abstract

A state detection device is provided that can provide coaching information for a person to maintain good posture and form as a direct stimulus to the body. A state detection device (1) comprises a sensor (5), a control section (3), a signal output section (4), and a sensory action section (6). The sensor (5) detects the state of a specific part of the living body and outputs an electrical signal representing biometric data as a result of the detection. A control unit (3) receives the biometric data transmitted by the electrical signal from the sensor (5), and determines whether or not the biometric data satisfies a predetermined condition of the posture of the biometric body. A signal output unit (4) outputs an instruction signal for stimulating a specific part of the living body based on the result of determination by the control unit (3). A sensory action section (6) causes the living body to perceive a stimulus based on the instruction signal from the signal output section (4). [Selection drawing] Fig. 1

Description

The present invention relates to a state detection device, a state detection method, and a program.

There is a technique for feeding back information on a person's body posture and motor state to the person himself / herself.

Maintaining good posture and form when a person performs various movements such as walking and sports is important for maintaining good health and performance. However, one cannot always maintain such an ideal posture and form. It often happens that a person's posture or form is unknowingly disturbed. For example, it is possible to correct the posture and form to the correct shape by giving advice from a third party (coach, etc.), but it is difficult for the third party to always accompany him. In addition, even if a person receives appropriate advice from a third party during movement, it is difficult for a person to correct his / her posture and form in a good direction while moving, unless he / she is an expert. Therefore, a technique of detecting a person's state by a machine (device) and giving feedback to the person based on the state is useful.

Patent Document 1 discloses a technique of converting information obtained from a plantar pressure sensor into sound and feeding back the sound to a walking learner.

Patent Document 2 describes assist wear that assists the expansion and contraction of muscles. This assist wear is provided with an assist actuator that drives expansion and contraction. Then, when the contact sensor provided in the assist wear detects contact from the outside, the assist wear controls the expansion and contraction of the assist actuator in the expansion and contraction direction of the muscle according to the contact pattern.

Patent Document 3 describes the technique of the exercise support device. In this exercise support device, a stimulus presentation unit attached to a body part of the user presents a stimulus to the user based on a wearable sensor attached to the user. More specifically, the exercise support device calculates the exercise time that the user should exercise based on the exercise intensity, the target energy consumption, and the weight. Then, the exercise support device determines whether or not the load on the user's body is high based on the biological signal acquired from the wearable sensor within the exercise time. As a result, the exercise support device assists the user not to exercise excessively.

In the technique described in Patent Document 4, the movement training support device measures the whole body movement of the trainee from the three-dimensional position obtained by acquiring the body part of the trainee who performs walking or running training, and the body part. It is provided with a processing means for calculating the guidance position and a video presentation means for visually providing the guidance position of the body part. This allows the mobility training support device to visually indicate (eg, on the floor) the goal of where the trainee should go while walking. The mobility training support device is a device mainly intended for walking rehabilitation. It is described that an infrared sensor, an optical camera, a laser sensor, left and right microphones, a contact sensor, and an attitude sensor are used as detection means for acquiring the trainee's information.

Japanese Unexamined Patent Publication No. 2004-141275 Japanese Unexamined Patent Publication No. 2016-154850 Japanese Unexamined Patent Publication No. 2016-007292 Japanese Unexamined Patent Publication No. 2016-073630

It is desirable that a device or the like used when a person performs an operation is equipped with a coaching function for maintaining a good posture and form. From that point of view, problems remain in any of the prior arts mentioned above.

In the technique described in Patent Document 1, the sound corresponding to the sole pressure is fed back to the walking learner, but it does not make any judgment about the sole pressure or give coaching information about walking to the walking learner. .. In the technique described in Patent Document 2, the actuator assists the expansion and contraction of the muscle in response to external contact, but does not control the expansion and contraction of the actuator according to the state of the muscle itself (state of human movement). .. The technique described in Patent Document 3 measures a person's condition and sends information in the form of a stimulus signal, but the stimulus signal is not information based on a person's posture or form. The technique described in Patent Document 4 is a person who visually provides information on a position for guiding a part of the body. In other words, a person needs to replace the information obtained by vision with the movement of his or her body.

The present invention has been made in consideration of such circumstances, and provides coaching information for maintaining a good posture and form as a direct stimulus to the body simply by wearing and wearing clothing or the like. It is an object of the present invention to provide a state detection device, a state detection method, and a program that can be given.

The state detection device according to the present invention has the following configuration.
(1): The state detection device according to one aspect of the present invention is a sensor that detects a state at a specific part of a living body and outputs an electric signal representing biological data as a detection result, and the electric signal from the sensor. A control unit that receives the transmitted biological data and determines whether or not the posture of the biological body satisfies a predetermined condition, and a stimulation to a specific part of the biological body based on the determination result by the control unit. The control unit includes a signal output unit that outputs an instruction signal for giving, and a sensory action unit that causes the living body to perceive a stimulus based on the instruction signal from the signal output unit. Therefore, when it is determined that the living body maintains a predetermined ideal operation, the signal output unit outputs the instruction signal toward the sensory action unit at predetermined time intervals. It is a state detection device.

(2): In the aspect of the above (1), the control unit appropriately reads out the predetermined condition from a memory in which the predetermined condition is stored in advance.

(3): In the embodiment (1) or (2), the control unit controls the signal output unit so as not to output the instruction signal when it is determined that the predetermined condition is not satisfied. The control unit controls the signal output unit to output the instruction signal again when it is determined that the predetermined condition is not satisfied after the determination that the predetermined condition is not satisfied.

(4): In any of the above aspects (1) to (3), the predetermined time interval has a length of 1 second or more and 60 seconds or less.

(5): In any of the above aspects (1) to (4), the sensor is at least one of a distortion sensor and an acceleration sensor.

According to (1) to (5), it is possible to give an accurate stimulus to the outside (human beings, etc.) by making a determination based on the biological data from the sensor. In addition, when the ideal state (ideal movement) is maintained, an accurate stimulus can be repeatedly given. As a result, the stimulating side can be trained to maintain the ideal state.
According to (2), the data for determination can be appropriately rewritten, and parameters such as the threshold value can be rewritten.
According to (3), the side receiving the stimulus can continue to perceive whether or not the ideal state (ideal operation) can be maintained for the time during which the state detection device is in use.
According to (4), the side receiving the stimulus can perceive it at an appropriate time interval for training / learning in a state where the ideal state (ideal movement) can be maintained.
According to (5), it is possible to make a determination based on the state of expansion / contraction or bending angle of a body part and the state of movement (acceleration) of the entire body.

It is a block diagram which shows the schematic functional structure of the state detection apparatus according to 1st Embodiment of this invention. It is the schematic of the wear which provided the sensor and the perception part of the state detection device by 1st Embodiment. It is the schematic which shows the example of wearing the sensor of the state detection device by 1st Embodiment in a living body. It is a schematic diagram which shows the relationship between the physical quantity detected by each sensor of the state detection device according to 1st Embodiment, and the posture at the time of walking of a person. It is a schematic diagram which shows the relationship between the physical quantity detected by each sensor of the state detection device according to 1st Embodiment, and the posture at the time of walking of a person. It is a graph (bowing posture) showing an example of the time transition of the physical quantity detected by each sensor of the state detection device according to the first embodiment. It is a graph (standing posture) which shows an example of the time transition of the physical quantity detected by each sensor of the state detection apparatus according to 1st Embodiment. It is a graph (low-speed walking in a drooping state) which shows an example of the time transition of the physical quantity detected by each sensor of the state detection device according to 1st Embodiment. It is a graph (fast walking) which shows an example of the time transition of the physical quantity detected by each sensor of the state detection device according to 1st Embodiment. It is a graph which shows an example of the time transition of the physical quantity detected by the strain gauge which has the state detection apparatus by 1st Embodiment. It is a graph which shows an example of the time transition of the total value of the physical quantity detected by two strain gauges which have the state detection apparatus by 1st Embodiment. It is a graph which shows an example of the time transition of the physical quantity detected by the accelerometer (y-axis direction) which the state detection apparatus according to 1st Embodiment has. It is a graph which shows an example of the time transition of the physical quantity detected by the accelerometer (z-axis direction) which the state detection apparatus according to 1st Embodiment has. It is a flowchart which shows the processing procedure of the state detection apparatus by 1st Embodiment. It is the schematic which shows an example of the arrangement in the living body of the sensor and the sensory part which the state detection device according to 2nd Embodiment has. It is the schematic which shows an example of the arrangement in the living body of the sensor and the sensory part which the state detection device according to 3rd Embodiment has.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[First Embodiment]
FIG. 1 is a block diagram showing a schematic functional configuration of a state detection device according to the present embodiment. As shown in the figure, the state detection device 1 includes a control unit 3, a signal output unit 4, a sensor 5, and a sensory action unit 6.

In the present embodiment, the state detection device 1 measures in advance a posture (generally considered to be good) that serves as a reference for a part of the human body (trunk, upper limbs, lower limbs), sets a reference, and uses it as a condition for determination. Save it in memory. When the reference person's state (posture) is maintained, the state detection device 1 sends a stimulating signal to the person's human body at regular intervals.

Components such as the control unit 3 and the signal processing unit 4 are realized by, for example, a hardware processor such as a CPU (Central Processing Unit) executing a program (software). Some or all of these components are hardware such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), GPU (Graphics Processing Unit), etc. It may be realized by (including circuits), or it may be realized by the cooperation of software and hardware. The program may be stored in advance in a storage device (a storage device including a non-transient storage medium) such as an HDD (Hard Disk Drive) or a flash memory, or a removable storage device such as a DVD or a CD-ROM. It is stored in a medium (non-transient storage medium) and may be installed by mounting the storage medium in a drive device. The sensor 5 passes an electric signal corresponding to the detected physical quantity or the like to the control unit 3. The sensory action unit 6 generates a stimulus in a form that can be perceived by a person in response to an electric signal passed from the signal output unit 4. This stimulus is, for example, light, sound, vibration, pressing, or the like. As shown in the figure, the control unit 3 and the signal output unit 4 are housed in the main body 2 so that signals can be transmitted between the main body 2 and the sensor 5 and between the main body 2 and the sensory action unit 6. You may. In this case, as a specific example, the signal from the sensor 5 to the control unit 3 and the signal from the signal output unit 4 to the sensory action unit 6 may be transmitted as an electric signal on the signal line. Further, in the process of transmitting the above signal, short-range wireless communication or communication such as a wide area network (WAN) may be used. The functions of the illustrated parts are as follows.

The control unit 3 receives the biological data transmitted by an electric signal from the sensor 5, and determines whether or not the posture of the living body satisfies the predetermined condition based on the biological data. When the control unit 3 determines that the living body maintains a predetermined ideal state (ideal operation) under the predetermined conditions, the signal output unit 4 outputs an instruction signal at predetermined time intervals. To control. The control unit 3 may appropriately read the predetermined condition from a memory (not shown) in which the predetermined condition is stored in advance. The control unit 3 controls so that the signal output unit 4 does not output the instruction signal when it is determined that the predetermined condition is not satisfied. The control unit 3 controls the signal output unit 4 to output the instruction signal again when it is determined that the predetermined condition is not satisfied after the determination that the predetermined condition is not satisfied. The predetermined time interval mentioned above, for example, 1 30 seconds or more, and 60 seconds or less in length.

The signal output unit 4 outputs an instruction signal for stimulating a specific part of the living body based on the determination result by the control unit 3.

The sensor 5 detects the state of a specific part of the living body and outputs an electric signal representing the biological data which is the detection result. The sensor 5 is, for example, at least one of a distortion sensor and an acceleration sensor, as will be described later.

The sensory action unit 6 causes the living body (human) to perceive a stimulus based on the instruction signal (positive signal) from the signal output unit 4. The stimulus is due to vibration, pressure, sound, light, or the like.

The main body 2 stores, for example, a control unit 3 and a signal output unit 4.

FIG. 2 is a schematic view showing an outline of a garment provided with a sensor 5 and a sensory action unit 6 according to the first embodiment. Wear 100 is, for example, exercise clothing (for the upper body) that can be worn by a person. The wear 100 includes the sensor 5 and the sensory action unit 6 also shown in FIG. In the illustrated example, the garment 100 includes two strain sensors 5a and four vibration motors 6a. The vibration motor is also called a "vibration element". The distortion sensor 5a is one specific example of the sensor 5, and is a sensor that detects the distortion (extension or contraction due to the acting force) and sends the signal to the control unit 3. The strain sensor 5a detects, for example, a change in capacitance due to strain when a physical force is applied, and outputs an electric signal corresponding to the change. The vibration motor 6a is one specific example of the sensory action unit 6, and vibrates or stops the vibration in response to a signal from the signal output unit 4. The vibration motor 6a is realized by using, for example, a linear resonance actuator (LRA) method or an eccentric rotational mass (ERM) method. The strain sensor 5a and the vibration motor 6a are substantially fixed at a predetermined position on the wear 100 by, for example, sewing a cover cloth 101. The distortion sensor 5a and the vibration motor 6a are connected to the control unit 3 and the signal output unit 4 via the wiring 103. The wear 100 has a wiring path 102, and the wiring 103 can pass through the wiring path 102.

FIG. 2 is a view of the wear 100 viewed from the back portion side. In the illustrated example, the two strain sensors 5a are placed on the upper back of a person (for example, around the trapezius muscle) so as to cross each other and to be obliquely about 45 degrees in the longitudinal direction. Has been done. When the strain sensor 5a is arranged in this way, the strain sensor 5a detects the displacement of the muscles in the back portion due to the movement of the arm. In addition, the strain sensor 5a detects the displacement of the muscles in the back portion when a person leans forward. In addition, the four vibration motors 6a are located around the back (below the position where the above two strain sensors 5a are provided), around the right upper arm, around the left flank, and around the lumbar spine. It is provided.

FIG. 3 is a schematic view showing the relationship between the 9-axis sensor and the like for the first embodiment and the body of a person who wears the 9-axis sensor. In the figure, a person wears a garment 100. The wear 100 is as shown in FIG. In addition, the person concerned wears a 9-axis sensor 5b on the back waist. The 9-axis sensor 5b is a specific example of the sensor 5 shown in FIG. The 9-axis sensor 5b is a sensor having the functions of a 3-axis acceleration sensor, a 3-axis geomagnetic sensor (electronic compass), and a 3-axis gyro sensor (each speed sensor). As shown in the illustrated example, the 9-axis sensor 5b is used to perform wireless communication between the wiring 103 between the strain sensor 5a and the vibration motor 6a and the control unit 3 and the signal output unit 4 on the main body 2 side. It may also have the function of the transmission / reception device of. The 9-axis sensor 5b according to this example has a function of detecting acceleration (3 axes), geomagnetism (3 axes), and angular velocity (3 axes), and transmitting the detected data to the control unit 3 on the main body 2 side. Further, the 9-axis sensor 5b receives an electric signal from the distortion sensor 5a and passes the signal to the control unit 3 by wireless communication. The 9-axis sensor 5b receives a signal by wireless communication from the signal output unit 4 and passes the signal to the vibration motor 6a.

As the strain sensor 5a, the 9-axis sensor 5b, and the vibration motor 6a, commercially available products may be used.

4A and 4B are schematic views showing an example in which the situation detection device 1 detects the state of movement of a person. As shown in FIGS. 4A and 4B, the state detection device 1 acquires information on the amount of vertical movement, forward tilt (angle), arm swing width, and horizontal swing when a person is walking. Of these, the amount of vertical movement and the amount of lateral sway are detected by the above-mentioned 9-axis sensor 5b. The amount of forward tilt and the amount of arm swing width are detected by the strain sensor 5a described above. The details of the amount detected by each sensor will be described later. FIG. 4A shows a negative walk and FIG. 4B shows a positive walk. Of these two types of walking, here, positive walking can be a training goal as an ideal walking posture or the like. A comparison of these two types of walking is as follows. The amount of vertical movement is relatively smaller in the negative walking shown in FIG. 4A than in the positive walking shown in FIG. 4B (vertical movement 201 <vertical movement 202). The amount (angle) of forward leaning is relatively larger in the negative walking shown in FIG. 4A than in the positive walking shown in FIG. 4B (forward leaning 203> forward leaning 204). The amount of arm swing width is relatively smaller in the negative walking shown in FIG. 4A than in the positive walking shown in FIG. 4B (arm swing width 205 <arm swing width 206). The amount of lateral sway is relatively larger in the negative gait shown in FIG. 4A than in the positive gait shown in FIG. 4B (lateral sway 207> lateral sway 208).

As described above, it has been described that the sensor 5 can detect the amount related to the posture during walking with reference to FIGS. 4A and 4B. That is, the sensor 5 (due to the combined use of the distortion sensor 5a and the 9-axis sensor 5b) can detect the physical condition of a person when walking. The control unit 3 repeatedly receives numerical data from the sensor 5 at a predetermined timing and monitors the state of the human body. The physical conditions to be monitored are the width of the arm swing, the degree of neck tilt (forward tilt), the degree of left-right swing of the trunk, and the degree of vertical movement of the entire body. And so on.

As a result of the above monitoring, the control unit 3 determines whether or not the body maintains an ideal state. Here, the ideal state is called a positive state, and the other states are called a negative state. Then, the control unit 3 controls the signal output unit 4 to output a signal indicating that the state is positive when the state is positive. Further, the control unit 3 controls so that the signal output unit 4 outputs a signal indicating the negative state (or the signal output unit 4 does not output any signal) in the negative state. When the sensory action unit 6 (for example, the vibration motor 6a) receives a signal indicating that it is in a positive state from the signal output unit 4, a stimulus (sound, light, vibration, pressing, etc.) that a person can approach is possible. Is output. When the vibration motor 6a is used, the vibration motor 6a causes a person to perceive a stimulus by causing a minute vibration.

As an example, the control unit 3 can determine the walking state illustrated in FIGS. 4A and 4B. When the control unit 3 determines that the ideal walking state (positive walking) can be maintained for a predetermined time based on the information obtained from the sensor 5, the signal output unit 4 sends a positive signal to the sensory action unit 5. send. Based on this positive signal, the sensory action unit 6 gives a minute stimulus to the person. Specifically, for example, the vibration motor 6a, which is a form of the sensory action unit 6, stimulates a predetermined part of a person by vibrating itself. When the positive state can be constantly maintained, the control unit 3 controls the signal output unit 4 so as to give the above stimulus at predetermined intervals. The predetermined cycle here is, for example, a cycle having a length within the range of 1 second or more and 60 seconds or less. The cycle for determining the walking state is preferably in the range of 30 seconds to 60 seconds. After that, once the walking posture of the person is disturbed, the control unit 3 controls the signal output unit 4 so as not to output a positive signal. That is, when the walking posture is disturbed, the person can know that the posture has deteriorated due to the absence of stimulation from the sensory action unit 6. That is, a person can know whether or not the state is positive depending on the presence or absence of stimulation from the state detection device 1 without any information or advice from another person.

The reason why the cycle in which the state detection device 1 outputs the stimulus (the time interval in which the signal output unit 4 outputs the instruction signal to the sensory action unit 6 is set to 1 second or more and 60 seconds or less is as follows. If the time interval is not shorter than 1 second and does not exceed 60 seconds, it can be immediately determined whether the predetermined condition is satisfied. The specific length of the time interval depends on the speed and state of operation. It can be set appropriately. From the viewpoint of feedback to the movement during exercise, it is useful to return a response at a time interval of 60 seconds or less in order to ensure the immediacy of the feedback. If it exceeds 60 seconds, there is no immediacy and the effect of the action according to the present invention is lost or diminished. A short time interval such as 1 second is effective for a fast movement, that is, in the case of a fast movement. Needs to return feedback quickly. Conversely, if the feedback time interval is short in a stationary state such as sitting, the wearer may feel uncomfortable, so the time interval is long (for example, 60 seconds, etc.). ). The time interval of feedback for each type of exercise movement will be described later.

The arrangement of the sensor 5 and the sensory action unit 6 is not limited to the form illustrated in FIG. Further, the target detected by the situation detection device 1 is not limited to a state such as a posture during a walking motion. Further, the sensor that can be used as the sensor 5 is not limited to the distortion sensor 5a and the 9-axis sensor 5b. For example, the strain sensor 5a acquires the state of muscles (stretching, etc.) and the state of joints (degree of bending of joints) of each part of the upper limbs of the human body as numerical data. Further, the 9-axis sensor 5b detects the acceleration (3 axes), the geomagnetism (3 axes), and the angular velocity (3 axes) of a person as numerical data. Not limited to these, the control unit 3 can acquire various states that can be detected by the sensor.

For example, the sensor 5 can be used for a person's wrist joint state (bending angle, etc.), elbow joint state (bending angle, etc.), shoulder-arm joint state (bending angle, etc.), and ankle joint angle (bending angle, etc.). Bending angle, etc.), position and condition of knee joint and hip joint (bending angle, etc.), position of thigh, posture of waist, and condition of other parts of the body can be acquired as data. it can. The control unit 3 can determine whether or not the current situation is a positive state from the states of various parts of the body acquired from the sensor 5 and the determination conditions stored in advance.

Examples of movements other than walking include the following. That is, for example, the situation detection device 1 is used to confirm basic movements (such as swinging and pitching) in various exercises such as tennis, golf, baseball, table tennis, and volleyball as movements centered on the upper limbs of the body. Can be done. Specifically, the situation detection device 1 can acquire information on the state of each part of the body with the sensor 5 and output a stimulus based on the determination result of the state. To check the motion form, for example, the status of the wrist joint (wrist snap), the position of the elbow (height, distance from the trunk, etc.), the status of the takeback of the shoulder and arm, the status detection device 1 may be detected and judged. Further, the situation detection device 1 may detect and determine the time transition of the state of each part of the body in a series of non-repetitive movements such as the movement of flying in a vaulting box. In the case of the above exercise, since the movement is continuous and fast, it is preferable that the output cycle of the stimulus is a relatively short cycle, for example, in the range of about 1 second to 2 to 3 seconds. Further, for example, the situation detection device 1 can be used to confirm the state of the squat movement during training as the movement centering on the lower limb portion of the body. In order to confirm the form of squat movement, for example, the situation detection device 1 determines the situation such as the angle of the ankle joint, the position and angle of the knee joint and the hip joint, the position of the thigh, the position and orientation of the waist, and the like. It may be detected and judged. In the case of exercise such as training, the output cycle of the stimulus is preferably in the range of about 2 to 3 seconds to 10 seconds, although it depends on the speed of the exercise. Furthermore, when the posture such as sitting position is statically maintained, the output cycle of the stimulus is relatively long, for example, in the range of 30 to 60 seconds.

The guideline of the preferable time interval of feedback for each type of exercise motion is as follows.
(1) 1 second or more and 3 seconds (about) or less: Effective for various movements such as pitching in baseball, swings in tennis, and a series of continuous quick movements such as a vaulting box. Since the time interval is relatively short, it is possible to immediately recognize the accuracy of whether or not the movement is good, and to give immediate feedback to the quick movement.
(2) 3 seconds or more and 30 seconds or less: It is effective in the case of an exercise that allows the whole body to be conscious by continuous movements such as walking or walking posture. It is possible to maintain an ideal state (movement or state) in a periodic movement.
(3) 30 seconds or more and 60 seconds or less: It is effective when it is necessary to maintain a good posture in a stationary state such as a sitting position or a substantially stationary state. That is, it is effective when the posture is statically maintained. In the case of such a stationary state or a state close to stationary, if the time interval is too short, an annoying sensation occurs, which is not preferable.

As described above, feedback is provided according to the speed of exercise movement and the length of the interval between exercise cycles, and the frequency and degree of how much the posture is changed (whether it is in a state close to rest or in a state of continuously changing posture). It is preferable to change the time interval.

Next, examples of measured values by the sensor 5 in various situations will be described.

FIG. 5 is a graph showing an example of time transition of numerical data detected by each sensor included in the state detection device 1. This graph shows numerical data when a person wearing the garment 100 is stationary in a bowing posture (a posture in which the head is tilted forward). The horizontal axis of this graph represents relative time (minutes, seconds, and tenths of a second in the form of "mm: ss.t" (mm is minutes, ss is seconds, t is tenths of a second). ). The vertical axis is the value of the electric signal output by the sensor 5 (for example, the capacity of the capacitor. The unit is picofarad "pF"). This graph shows the time transition of numerical values of five types of items.

In FIG. 5, reference numeral 301 is a graph showing the transition of acceleration in the X-axis direction detected by the acceleration sensor (included in the 9-axis sensor 5b). Reference numeral 302 is a graph showing the transition of acceleration in the Y-axis direction detected by the acceleration sensor. Reference numeral 303 is a graph showing the transition of acceleration in the Z-axis direction detected by the acceleration sensor. Reference numeral 304 is a graph showing the transition of distortion of one of the two distortion sensors 5a (first channel, 1ch). Reference numeral 305 is a graph showing the transition of the sum of distortions (1ch + 2ch) of both of the two distortion sensors 5a (channel 1 and channel 2). The X-axis direction is a left-right direction orthogonal to the direction in which the person is facing, and the right side of the person is the positive direction and the left side is the negative direction. The Y-axis direction is the direction in which a person is facing (front-back direction), with the front side being the positive direction and the rear side being the negative direction. The Z-axis direction is a vertical direction (vertical direction), with the upper side being the positive direction and the lower side being the negative direction.

In the graph shown in FIG. 5, the target person is basically stationary in a state of being tilted forward. Therefore, the transition of each numerical value shown by reference numerals 301 to 305 is basically within a predetermined range, although it includes some fluctuations. For example, the acceleration in the X-axis direction indicated by reference numeral 301 is almost zero. Other numerical values are also in a stable state at their respective predetermined values.

Although this graph is illustrated as the case where the numerical value on the vertical axis of the graph is a capacitor, a numerical value having another unit may be used. For example, in the case of a distortion sensor, a numerical value such as a gauge ratio may be used. Further, in the case of an acceleration sensor, a numerical value such as acceleration may be used. In the case of other sensors as well, numerical values such as physical quantities detected by the sensors may be used as appropriate.

FIG. 6 is a graph showing an example of time transition of numerical data detected by each sensor of the state detection device 1. This graph shows numerical data when a person wearing the garment 100 is stationary in a standing posture (a posture in which the wear 100 is standing almost straight in the vertical direction). The horizontal and vertical axes of this graph are similar to those described in FIG.

Reference numerals 311, 312, 313, 314, and 315 in FIG. 6 correspond to reference numerals 301, 302, 303, 304, and 305 in FIG. 5, respectively. That is, reference numeral 311 indicates a transition of acceleration in the X-axis direction, reference numeral 312 indicates a transition of acceleration in the Y-axis direction, and reference numeral 313 indicates a transition of acceleration in the Z-axis direction. Further, reference numeral 314 is a graph showing the transition of the strain of one of the strain sensors 5a (first channel, 1ch), and reference numeral 315 is a graph showing the transition of the sum of the distortions of the two strain sensors 5a (1ch + 2ch). In the graph shown in FIG. 6, the target person is basically stationary in an upright state. Therefore, the transition of each numerical value shown by the reference numerals 311 to 315 is basically within a predetermined range, although it includes some fluctuations. For example, the acceleration in the X-axis direction indicated by reference numeral 311 is almost zero. Other numerical values are also in a stable state at their respective predetermined values.

FIG. 7 is a graph showing an example of the time transition of the numerical data detected by each sensor of the state detection device 1. This graph shows numerical data when a person wearing the garment 100 is walking at a relatively low speed (2 km / h) while maintaining a drooping state. Walking in a drooping state is similar to or similar to the "negative walking" already mentioned. The horizontal and vertical axes of this graph are similar to those described in FIG. 7 (A) shows the acceleration X, FIG. 7 (B) shows the acceleration Y, FIG. 7 (C) shows the acceleration Z, and FIG. 7 (D) shows the value of 1ch of the strain sensor. (E) shows the value of 1ch + 2ch of the distortion sensor.

Reference numerals 321 and 322, 323, 324 and 325 in FIG. 7 correspond to reference numerals 301, 302, 303, 304 and 305 in FIG. 5, respectively. That is, reference numeral 321 indicates a transition of acceleration in the X-axis direction, reference numeral 322 indicates a transition of acceleration in the Y-axis direction, and reference numeral 323 indicates a transition of acceleration in the Z-axis direction. Further, reference numeral 324 is a graph showing the transition of the distortion of one of the strain sensors 5a (first channel, 1ch), and reference numeral 325 is a graph showing the transition of the sum of the distortions of the two strain sensors 5a (1ch + 2ch). In the graph shown in FIG. 7, unlike FIGS. 5 and 6, the accelerations (321, 322, 323) in each of the X-axis, Y-axis, and Z-axis fluctuate according to the cycle of the walking motion. ing. On the other hand, the output values (321, 322) of the distortion sensor 5a provided on the back portion are substantially constant with respect to time and are stable.

FIG. 8 is a graph showing an example of time transition of numerical data detected by each sensor of the state detection device 1. This graph shows numerical data when a person wearing the wear 100 is walking fast (5 km / h). Walking fast is similar to or similar to the "positive walking" already mentioned. The horizontal and vertical axes of this graph are similar to those described in FIG. 8 (A) shows the acceleration X, FIG. 8 (B) shows the acceleration Y, FIG. 8 (C) shows the acceleration Z, and FIG. 8 (D) shows the value of 1ch of the strain sensor. (E) shows the value of 1ch + 2ch of the distortion sensor.

Reference numerals 331, 332, 333, 334 and 335 in FIG. 8 correspond to reference numerals 301, 302, 303, 304 and 305 in FIG. 5, respectively. That is, reference numeral 331 indicates a transition of acceleration in the X-axis direction, reference numeral 332 indicates a transition of acceleration in the Y-axis direction, and reference numeral 333 indicates a transition of acceleration in the Z-axis direction. Further, reference numeral 334 is a graph showing the transition of the strain of one of the strain sensors 5a (first channel, 1ch), and reference numeral 335 is a graph showing the transition of the sum of the distortions of the two strain sensors 5a (1ch + 2ch). In the graph shown in FIG. 8, similarly to the graph of FIG. 7, the accelerations (331, 332, 333) in each of the X-axis, Y-axis, and Z-axis directions fluctuate according to the cycle of walking motion. There is. Further, the width of the fluctuation of the acceleration in each direction is larger than the width of the fluctuation of the acceleration in each direction in FIG. This is because the change in body movement (acceleration in each direction) becomes relatively intense as the person walks fast. On the other hand, the output values (331, 332) of the distortion sensor 5a provided on the back portion have a wider fluctuation range than the case shown in FIG. 7. This is because when walking fast, people tend to swing their arms more than when walking in a drooping manner, and the fluctuations in the muscle strain of the back part detected by swinging the arms are large. is there.

FIG. 9 is a graph showing an example of time transition of numerical data detected by one (1ch) of the distortion sensor 5a included in the state detection device 1. In the figure, reference numeral 351 indicates the output of the distortion sensor 5a during walking in which a person is drooping (negative walking). Reference numeral 352 indicates the output of the distortion sensor 5a when the person walks fast (positive walking). Reference numeral 353 indicates the output of the distortion sensor 5a when a person is standing upright (described above). Reference numeral 354 indicates the output of the distortion sensor 5a when a person is bowing (described above). The horizontal and vertical axes of this graph are similar to those described in FIG.

As shown in FIG. 9, the output value of the distortion sensor 5a in the bowed state is larger than the output value of the strain sensor 5a in the standing state. This is because the degree of distortion of the distortion sensor 5a provided on the back portion of a person becomes relatively large depending on the posture of bowing (forward leaning). In addition, a comparison between fast walking and drooping walking is as follows. That is, the output value of the distortion sensor 5a during fast walking (positive walking) is generally smaller than the output value of the distortion sensor 5a during drooping walking (negative walking). This is because the degree of forward tilt of the back and neck is relatively small when walking fast, so the degree of distortion of the distortion sensor 5a is relatively small. Further, the fluctuation range of the output value of the distortion sensor 5a during fast walking (positive walking) is considerably larger than the fluctuation range of the output value of the distortion sensor 5a during drooping walking (negative walking). This is because, as described above, in the case of a fast walk, the degree of swinging both arms is large.

FIG. 10 is a graph showing an example of the time transition of the sum (1ch + 2ch) of the output values of the two distortion sensors 5a included in the state detection device 1. In the figure, reference numeral 361 indicates the output of the distortion sensor 5a during a person's drooping walking (negative walking). Reference numeral 362 indicates the output of the distortion sensor 5a when the person walks fast (positive walking). Reference numeral 363 indicates the output of the distortion sensor 5a when a person is standing upright (described above). Reference numeral 364 indicates the output of the distortion sensor 5a when a person is bowing (described above). The horizontal and vertical axes of this graph are similar to those described in FIG.

Similar to the case shown in FIG. 9, the output value of the strain sensor 5a in the bowed state is larger than the output value of the strain sensor 5a in the standing state. The reason for this is as already described with reference to FIG. In addition, a comparison between fast walking and drooping walking is as follows. That is, the output value (362) of the distortion sensor 5a during fast walking (positive walking) is generally smaller than the output value (361) of the distortion sensor 5a during drooping walking (negative walking). This is because, as already mentioned, the degree of forward tilt of the back and neck is relatively small when walking fast.

Comparing the graph of reference numeral 361 of FIG. 10 with the graph of reference numeral 351 of FIG. 9, the fluctuation period of the latter is relatively short. Similarly, comparing the graph of reference numeral 362 of FIG. 10 with the graph of reference numeral 361 of FIG. 9, the fluctuation period of the latter is relatively short. This is because the graph shown in FIG. 10 shows the sum of the output values of the two distortion sensors 5a. That is, in the walking motion in which the right arm and the left arm are alternately pushed forward, the graph shown in FIG. 10 shows the displacement of the back muscles and the like when the right arm is pushed forward and the back muscles when the left arm is pushed forward. This is to capture both displacements such as.

Another feature of the graph shown in FIG. 10 is that the average value (moving average value of a predetermined period) of the numerical values indicated by reference numerals 361 and 362 in the time direction fluctuates with the passage of time. This is because, in the walking motion, not only the magnitude (displacement) of the arm swing within the walking motion cycle changes, but also the arm swing width itself when passing through multiple cycles of the walking motion. This is because the changes are gentle.

FIG. 11 is a graph showing an example of the time transition of the acceleration in the Y-axis direction detected by the acceleration sensor (9-axis sensor 5b) included in the state detection device 1. Reference numeral 371 in FIG. 11A indicates acceleration in the Y-axis direction during walking in which a person is drooping (negative walking). Reference numeral 372 in FIG. 11B indicates acceleration in the Y-axis direction when a person walks fast (positive walking). Reference numeral 373 in FIG. 11C indicates acceleration in the Y-axis direction when a person is standing (described above). Reference numeral 374 in FIG. 11 (D) indicates acceleration in the Y-axis direction when a person is bowing (described above). The horizontal and vertical axes of this graph are similar to those described in FIG.

FIG. 12 is a graph showing an example of the time transition of the acceleration in the Z-axis direction detected by the acceleration sensor (9-axis sensor 5b) included in the state detection device 1. Reference numeral 381 in FIG. 12A indicates acceleration in the Z-axis direction during walking in which a person is drooping (negative walking). Reference numeral 382 in FIG. 12B indicates acceleration in the Z-axis direction when a person walks fast (positive walking). Reference numeral 383 in FIG. 12C indicates acceleration in the Z-axis direction when a person is standing (described above). Reference numeral 384 in FIG. 12 (D) indicates the acceleration in the Z-axis direction when a person is bowing (described above). The horizontal and vertical axes of this graph are similar to those described in FIG.

The feature of the graph shown in FIG. 12 is that the displacement of the acceleration in the Z-axis direction (reference numeral 382) during a person's fast walking (positive walking) is the acceleration in the Z-axis direction during a person's drooping walking (negative walking). It is considerably larger than the displacement of (reference numeral 381).

As described above, an example of the time transition of the actual output value from the sensor 5 has been described in FIGS. 5 to 12. By analyzing these examples, the state detection device 1 can specify the conditions for discriminating, for example, negative walking and positive walking.

For example, the determination conditions for the state detection device 1 to determine that the person is walking positively are as follows. That is, the state in which all of the conditions A, B, C, and D listed below are true continues for a predetermined number of seconds (value set as a parameter) or longer.
(Condition A) The fluctuation range of the output value of the strain sensor corresponding to the swing width of the arm is equal to or greater than a predetermined threshold value.
(Condition B) The moving average value of the output value of the distortion sensor (moving average value of about several seconds (for example, 5 seconds)) corresponding to the degree of forward tilt of the human head or neck is a predetermined threshold value. Must be:
(Condition C) The fluctuation range of acceleration in the Y-axis direction (walking direction (front-back direction)) is equal to or greater than a predetermined threshold value.
(Condition D) The fluctuation range of acceleration in the Z-axis direction (vertical direction, that is, the top-bottom direction) is equal to or greater than a predetermined threshold value.

In addition, conditions other than the conditions exemplified above may be used. In addition, although the conditions for determining “positive” for walking are illustrated above, conditions for the time series of output values from the sensor 5 may be set for movements other than walking. The control unit 3 can access a memory (not shown) that stores such determination conditions, and can appropriately read preset determination conditions. The determination conditions can be set, for example, by the user of the state detection device 1 through the user interface screen.

Next, the processing procedure of the state detection device 1 will be described. FIG. 13 is a flowchart showing a processing procedure by the state detection device 1. Hereinafter, the procedure will be described according to this flowchart.

First, the state detection device 1 determines whether or not to end the entire process (step S11). The state detection device 1 ends the process when a predetermined end condition is satisfied. The termination condition is, for example, whether or not the processing for a predetermined predetermined period has already been completed, and whether or not the termination instruction has been received from the outside. When it ends (step S11: YES), the process of this flowchart ends. If it does not end (step S11: NO), the state detection device 1 proceeds to the next step.

Next, the state detection device 1 waits for a predetermined time (step S12). The length of time to wait in this step is set in advance, for example. The length of the waiting time is, for example, 50 milliseconds, 100 milliseconds, and the like. After waiting for a predetermined time, the state detection device 1 proceeds to the next step.

Next, the control unit 3 acquires value data from the sensor 5 and calculates a numerical value required for condition determination (step S13). Next, the control unit 3 reads out the condition to be determined from the area stored in advance, and determines whether or not the numerical value calculated in step S13 satisfies the condition (step S14). The judgment result is positive or negative. A positive is a state corresponding to a case where a person's posture, exercise, or other conditions are desirable. Negative is the state of logical denial of the positive.

Next, the control unit 3 branches the processing flow based on the determination result in step S14 (step S15). If the determination result is positive (step S15: YES), the control unit 3 proceeds to the next step S16. If the determination result is negative (step S15: NO), the control unit 3 returns to step S11.

Next, the control unit 3 controls whether or not the signal output unit 4 outputs a positive signal (step S16). Specifically, in the control unit 3, when the positive determination result has been continuously performed N1 times or more in the latest N1 times or more and a predetermined T1 second or more has elapsed from the output of the previous positive signal, the signal output unit 4 sends the signal output unit 4. Control to output a positive signal. In other cases, the control unit 3 controls the signal output unit 4 so as not to output a positive signal. The above N1 is a preset integer value. Further, T1 is a preset real value. As an example, N1 may be a number of times corresponding to a length of time such as 50 times or 5 seconds. Further, as an example, T1 may be set to 30 seconds or the like. That is, T1 is a parameter that defines the time interval from the previous stimulus output to the next stimulus output when the body maintains a positive state. Note that T1 may be a constant value at all times, or may be a value that fluctuates depending on the situation. When the signal output unit 4 outputs a positive signal, the perceptual action unit 6 that receives the signal causes an action that a person can approach. For example, when the sensory action unit 6 is a vibration motor 6a, the vibration motor 6a vibrates for a predetermined time (for example, 1 to 2 seconds). In other cases as well, the sensory action unit 6 outputs predetermined light stimuli, tactile stimuli, pressure stimuli, sound stimuli, and the like. This allows one to perceive that the condition is positive. When the process of step S16 is completed, the control unit 3 returns the control of the process to step S11.

As illustrated in FIG. 2, the state detection device 1 can give a stimulus to a person from a plurality of sensory action units 6. At this time, depending on the result of the condition determination, the stimulus to the person may be given only from the sensory action part 6 corresponding to the part of the body to which the stimulus is to be given. As a result, the person who uses the state detection device 1 can receive a plurality of different types of stimuli.

According to the present embodiment, the control unit 3 can determine whether or not a predetermined condition is satisfied based on the data acquired from the sensor 5. Further, the signal output unit 4 outputs a signal to the sensory action unit 6 based on the determination result by the control unit 3. As a result, the person can receive feedback of the judgment result based on his / her posture, state, and the like. That is, the state detection device 1 can constantly detect the posture of a person and feed back the determination result regarding the posture to the person.

According to the present embodiment, the state detection device 1 measures in advance a posture (ideal state) that serves as a reference (generally good) for a part of the human body (trunk, upper limbs, lower limbs), and sets the reference. When the reference person's state (posture) is maintained, a stimulating signal is sent to the person's body at regular intervals. As a result, a person can be directly aware of his / her own posture state (form) during exercise.

By using the state detection device 1 according to the present embodiment, a person can detect that the person is maintaining a good posture by continuing to be stimulated by the human body while maintaining a good posture. For this reason, the person can be made aware that the posture is the standard posture, and the person can continue to maintain a good posture (form) by himself / herself even in the absence of a third party (coach, etc.).

The state detection device 1 according to the present embodiment feeds back a stimulus indicating that the person's posture is positive when the person's posture is in a positive state. In general, when coaching about exercise or the like, the method of training by feeding back what is positive is more likely to produce the results of training than the method of training by feeding back what is negative. That is, the state detection device 1 can effectively provide coaching information to a person.

[Second Embodiment]
Next, the second embodiment of the present invention will be described. The matters already described in the previous embodiment may be omitted below. The functional configuration of the state detection device in this embodiment is the same as that shown in FIG. 1 (first embodiment). Here, the matters peculiar to the present embodiment will be mainly described.

FIG. 14 is a schematic view showing an example of arrangement in a living body of a sensor and a sensory action unit included in the state detection device according to the present embodiment. The wear 111 according to the present embodiment is worn on a human arm. The wear 111 is clothing (arm guard) that covers from the upper arm of a person to the back of the hand (the base of the fingers of the hand). As shown in the figure, the wear 111 is provided with two strain sensors 5a and three vibration motors 6a. The two strain sensors 5a are provided so as to be arranged around the popliteal fossa (inside the elbow, popliteal fossa) and around the back of the wrist, respectively. Each of these two sensors 5a detects the degree of bending of the elbow joint and the degree of bending of the wrist joint, and outputs a numerical value corresponding to those degrees. Further, the three vibration motors 6a are provided around the upper arm, around the elbow, and around the back of the wrist, respectively. The roles of these vibration motors 6a are similar to those in the first embodiment. That is, the vibration motor 6a vibrates or stops the vibration in response to the signal from the signal output unit 4. The wear 111 is provided with a 9-axis sensor 5c.

According to the present embodiment, the state detection device determines whether or not the physical condition is positive based on numerical data acquired from body parts such as arms, shoulders, and wrists, and a person according to the determination result. Can give a stimulus to. That is, the state detection device can determine the posture and form based on the state such as the snap of the wrist, the takeback of the arm, the position of the elbow, etc. when throwing an object, for example. More specifically, for example, the state detection device of the present embodiment is useful for training such as pitching motion in ball games such as baseball and motion in throwing competition in athletics. The state detection device of the present embodiment can constantly detect the posture and provide feedback to the target person.

[Third Embodiment]
Next, a third embodiment of the present invention will be described. The matters already explained up to the previous embodiment may be omitted below. The functional configuration of the state detection device in this embodiment is the same as that shown in FIG. 1 (first embodiment). Here, the matters peculiar to the present embodiment will be mainly described.

FIG. 15 is a schematic view showing an example of arrangement of the sensor and the sensory action unit included in the state detection device according to the present embodiment in a living body. The wear 112 according to the present embodiment is for being worn on a person's leg. The garment 112 is garment (bottom type garment) that covers from the waist to the ankle of a person. As shown in the figure, the wear 111 is provided with four strain sensors 5a and two vibration motors 6a. The four strain sensors 5a are located around the thighs (biceps femoris, semitendinosus, semimembranosus, etc.), around the knee joints, around the calves (gastrocnemius, etc.), and around the ankles, respectively. It is provided to be placed in. Each of these four sensors 5a detects the degree of bending of the joint and the degree of expansion and contraction of the muscle, and outputs a numerical value corresponding to the degree thereof. Further, the two vibration motors 6a are provided around the thigh and around the lower part of the knee (patellar ligament), respectively. The roles of these vibration motors 6a are similar to those in the first embodiment. That is, the vibration motor 6a vibrates or stops the vibration in response to the signal from the signal output unit 4. The wear 112 includes a 9-axis sensor 5c.

According to the present embodiment, the state detection device determines whether or not the physical condition is positive based on the numerical data acquired from the legs and their surroundings (waist, thigh, knee, calf, ankle, etc.). , It is possible to give a stimulus to a person according to the judgment result. That is, the state detection device is used for movements such as kicking a ball or bending and stretching a leg, for example, knee position, thigh position, ankle orientation, hip posture, and leg muscles. The posture and form can be determined based on the state such as expansion and contraction of the body. More specifically, for example, the state detection device of the present embodiment is useful for kicking motions in ball games such as football, motions in athletics racewalking and long-distance races, and repetitive motions such as squats. The state detection device of the present embodiment can constantly detect the posture and provide feedback to the target person.

[Modification example]
In each of the above-described embodiments, when the control unit 3 determines that the operation is “positive” based on the data acquired by the sensor 5, a signal indicating that the signal output unit 4 is positive (positive signal). ) Was output. Further, based on the positive signal from the signal output unit 4, the sensory action unit 5 outputs a stimulus that a person or the like can approach. As a modification, the positive and negative may be reversed. In this case, when the control unit 3 determines that the operation is "negative" based on the data acquired by the sensor 5, the signal output unit 4 outputs a signal (negative signal) indicating that the operation is negative. .. Further, based on the negative signal from the signal output unit 4, the sensory action unit 5 outputs a stimulus that a person or the like can approach.

Although the embodiments for carrying out the present invention have been described above using the embodiments, the present invention is not limited to these embodiments, and various modifications and substitutions are made without departing from the gist of the present invention. Can be added.

1 Condition detection device 2 Main unit 3 Control unit 4 Signal output unit 5 Sensor 5a Distortion sensor 5b, 5c 9-axis sensor 6 Perceptual action unit 6a Vibration motor 100 Wear 101 Address cloth 102 Wiring path 103 Wiring 111, 112

Claims (7)

A sensor that detects the state of a specific part of the living body and outputs an electrical signal that represents the biological data that is the detection result.
A control unit that receives the biometric data transmitted by the electric signal from the sensor and determines whether or not the biometric data satisfies a predetermined condition for the posture of the living body.
A signal output unit that outputs an instruction signal for stimulating a specific part of the living body based on the determination result by the control unit.
A sensory action unit that causes the living body to perceive a stimulus based on the instruction signal from the signal output unit,
With
When the control unit determines that the living body maintains a predetermined ideal operation under the predetermined conditions, the signal output unit directs the instruction signal to the sensory action unit at predetermined time intervals. Output,
A state detection device characterized by this. The control unit appropriately reads the predetermined condition from the memory in which the predetermined condition is stored in advance.
The state detection device according to claim 1. The control unit controls the signal output unit so as not to output the instruction signal when it is determined that the predetermined condition is not satisfied.
After determining that the predetermined condition is not satisfied, the control unit controls the signal output unit to output the instruction signal again when it is determined that the predetermined condition is satisfied.
The state detection device according to claim 1 or 2. The predetermined time interval has a length of 1 second or more and 60 seconds or less.
The state detection device according to any one of claims 1 to 3. The sensor is at least one of a distortion sensor and an acceleration sensor.
The state detection device according to any one of claims 1 to 4. The process of the control unit receiving the electrical signal from a sensor that detects the state of a specific part of the living body and outputs an electrical signal representing the biological data that is the detection result.
A process in which the control unit determines whether or not the posture of the living body satisfies a predetermined condition based on the biological data transmitted by the electric signal.
A process in which the signal output unit outputs an instruction signal for stimulating a specific part of the living body based on the determination result by the control unit.
A process in which the sensory action unit perceives a stimulus to the living body based on the instruction signal from the signal output unit.
Including
When the control unit determines that the living body maintains a predetermined ideal operation under the predetermined conditions, the signal output unit directs the instruction signal to the sensory action unit at predetermined time intervals. Output,
State detection method. The process of the control unit receiving the electrical signal from a sensor that detects the state of a specific part of the living body and outputs an electrical signal representing the biological data that is the detection result.
A process in which the control unit determines whether or not the posture of the living body satisfies a predetermined condition based on the biological data transmitted by the electric signal.
A process in which the signal output unit outputs an instruction signal for stimulating a specific part of the living body based on the determination result by the control unit.
Is a program that causes a computer to execute
When the control unit determines that the living body maintains a predetermined ideal operation under the predetermined conditions, the signal output unit directs the instruction signal to the sensory action unit at predetermined time intervals. Output,
program.

Images