KR102219514B1 - A Body Touch Pattern Sensing System - Google Patents

Abstract

The interface circuit part 606 is connected to transmit the sensing pattern data of the capacitive sensor array mat 602 device and the control signal of the actuator 604 device. The signal transmitted to the interface circuit unit 606 is connected to the Internet network by a wireless or wired communication unit 608. The signal transmitted by the wireless or wired communication unit 608 is stored in the Internet Cloud storage system 610 to accumulate detection pattern data.
The body pattern analysis system 612 analyzes the detected pattern data accumulated in the Internet Cloud storage system 610 based on time, posture, and position. Body pattern analysis system 612 includes applying AI (Artificial Intelligence) analysis techniques such as machine learning and deep learning based on the accumulated detection pattern data, Big Data. .
The service system 614 provides a service through which a user can utilize specific pattern data analyzed by the body pattern analysis system 612. The service system 614 includes wired/wireless terminal devices such as mobile phones, PCs, and tablet PCs.

Description

Body Touch Pattern Sensing System {A Body Touch Pattern Sensing System}

When a part of the human body is in contact within the capacitive sensor array mat 602, detection pattern data is generated based on the contact shape. Applied objects to which the Capacitive Sensor Array Mat 602 can be installed include devices that can contact a human body, such as various chairs and various beds. The interface circuit part 606 is connected to transmit the detection pattern data signal of the capacitive sensor array mat 602 and the control signal of the actuator 604 on the Internet. The signal transmitted to the interface circuit unit 606 is connected to the Internet network by a wireless or wired communication unit 608. The signal transmitted by the wireless or wired communication unit 608 is stored in the Internet Cloud storage system 610 to accumulate detection pattern data.

The body pattern analysis system 612 analyzes the detected pattern data accumulated in the Internet Cloud storage system 610 based on time, posture, and position. Body pattern analysis system 612 includes applying AI (Artificial Intelligence) analysis techniques such as machine learning and deep learning based on the accumulated detection pattern data, Big Data. .

The service system 614 provides a service through which a user can utilize specific pattern data analyzed by the body pattern analysis system 612. The service system 614 includes wired/wireless terminal devices such as mobile phones, PCs, and tablet PCs.

In a voltage conversion device for converting a high voltage AC power source to a low voltage DC power source, the transformer circuit 100 typically becomes a circuit area that incurs a large area and cost in the configuration of the circuit.

Therefore, it acts as a disturbing factor in constructing a low-cost circuit. Meanwhile, the Zener diode 104 circuit region is disposed in parallel with the output terminal of the rectifier circuit 102 to secure the output voltage characteristic of a constant voltage.

Recently, the role of surge protection that protects the system from system transients and lightning-induced transients in the communication field, and the role of electrostatic discharge (ESD) protection that protects the circuit against static electricity in mobile communication terminals, notebook PCs, electronic notebooks, and PDAs. As a PN varistor is required.

It is used as a surge absorbing device to prevent sudden voltage surge in products that use electricity, such as various information devices and control devices, and damage to appliances. In addition, it is used in a variety of areas, from power equipment fields such as power plants, substations, and transmission stations to the core elements of power arresters to safely protect facilities from lightning strikes.

Accordingly, the necessity to protect the system from power surges, lightning surges, etc. occurring in these equipments is stronger than ever.

Surge Protection Device (SPD, Voltage Transient Management System: VTMS, or Transient Voltage Surge Suppressor: TVSS) is used to block the electronic devices installed in the power system from destruction or malfunction from such transient external surges. Install. In addition, electronic devices installed in the power system must be equipped with a sensing protection device capable of preventing disasters caused by various faults such as abnormal current, abnormal voltage or leakage current.
In Korean Patent Application No. 10-2011-0141186 (2011.12.23),'a touch sensor capable of specifying the touch position and/or the intensity of the touch pressure using graphene as an electrode and/or a strain gauge, In particular, it describes a touch sensor that can simultaneously sense pressure and position by changing resistance by using graphene, and in Korean Patent Application No. 10-2017-0113321 (2017.09.05),'Grid of pressure sensor' is described. 'Smart bed system using shape arrangement', and Korean Patent Application No. 10-2016-0099419 (2015.02.12) describes'posture detection and method using FSR (Force Sensing Resistor) sensor'. , In Japanese Patent Publication No. 5167409 (2013.03.21),'Detection of change in resistance due to change of dielectric thickness between electrostatic membranes by pressure on the mattress in order to suppress the occurrence of bedsores in patients living sickly: claim [ 7] In the sensor body 30, the electrodes (01 X to 14 X, 01Y to 10 Y) have a band-shaped outer electrode (01 X to 14 X) on which the sensor thin film 31 is disposed, The sensor thin film 31 is formed in a band-shaped rear electrode (01 Y to 10 Y), and the detection units A0101 to A1410 are the outer electrodes (01 X to 14 X) and the rear electrode (01). The positional body pressure control device (1) according to any one of claims 1 to 6, wherein the detection unit changes in electric capacity according to the input load by being formed by crossing Y to 10 Y) from the front and back directions. ) A device and method that detects the patient's posture and body pressure by attaching an electric capacity to detect body load and changes posture' are described, but as in the above example, the basis of the posture detection prior art is all pressure. That is, it is based on a method of detecting changes in resistance value characteristics according to body pressure (decompression detection). All.
Accordingly, the prior art is based on a resistance characteristic change sensor technology as a structure such as a decompression-based FSR sensor that senses weight or pressure, a capacitance sensor of a conductive sheet, or an electric capacity sensor.
In addition, another prior art is disclosed in Japanese Patent Publication JP 2017-169881 A (2017.09.28),'Re-phase sensor and re-phase state determination device: In claim [1], as a capacitive re-phase sensor for detecting the presence or absence of a body. , A first electric capacity electrode formed by a pair of positive and negative electrodes, and a second electric capacity electrode formed by a pair of positive and negative electrodes installed in close proximity to the first electric capacity electrode. The body presence detection signal (electric capacity) according to the difference in distance between the first and second electric capacity electrodes and the body between the first and second electric capacity electrodes is a difference. A phase sensor characterized by outputting a detecting signal is described. However, as in the above example, the unit capacitance type phase sensor element of the prior art includes the first two electrodes of electric capacity and the Based on the second electric capacity two electrode structure, it is composed of a total of four plurality of positive and negative electrode pairs.
Regardless of the pressure or resistance change sensing structure of the prior art, the first electric capacity positive and negative pair electrode and the second electric capacity positive and negative pair electrode structure at all, the present invention It is based on a distance-aware capacitive sensor (m,n) device that detects whether a part of a human body such as a foot has approached within a certain distance, and the unit capacitive sensor (m,n) device is based on a single electrode structure technology. I want to develop.

An embodiment of the present invention has the following features.

First, it has a feature that enables the implementation of a system in which people with discomfort can detect a sitting or standing posture in a chair and take measures such as correction.

Second, it has the feature of implementing a system that can prevent the occurrence of bedsores through time management of the patient lying in bed.

Third, it has the characteristic of implementing a system capable of acquiring information and taking measures to control the state during sleep by detecting body posture patterns during sleep of ordinary people or to understand other symptoms of the body.

In a voltage conversion device that converts a high voltage AC and DC power supply to a low voltage DC power supply, the configuration of the normal transformer circuit 100 is removed to remove a large area occupied by the normal transformer circuit 100 to reduce cost. It is characterized in that the circuit can be configured.

In addition, the block configuration of the strong-ARM Latch amplifying circuit for generating Sensing Detection Voltage is composed of a strong-ARM amplifying unit 700 for generating Sensing Detection Voltage, a CLK generating unit 701 and a capacitive sensor unit 702.

The S_1 signal input transistor 706 is a transistor element for inputting the S_1 signal of the capacitive sensor unit 702.

S_2 signal input The Sensing Detection Voltage generation transistor 707 is a transistor element for inputting the S_2 signal of the capacitive sensor unit 702.

In order to generate a Sensing Detection Voltage characteristic of a predetermined value different from the S_1 signal input transistor 706, a plurality of transistors are connected in series or are connected in parallel so that the current driving capability differs from the S_1 signal input transistor 706. Characterized in that.

The capacitive sensor part is formed by forming a thin film or thick dielectric insulating film on the surface of a single pad electrode, and the single pad electrode is configured by selectively connecting to one terminal from the S_1 signal or S_2 signal terminals of the strong-ARM amplifying unit generating Sensing Detection Voltage.

The thing device 600 refers to a device corresponding to a target object of IoT (Internet of Things). In the present invention, the object device 600 includes a capacitive sensor array mat 602, which is a capacitive sensor arrangement device capable of generating a signal when a human body contacts it, and a response control corresponding to the sensor signal. It includes an Actuator 604, which is an execution device capable of processing signals. Capacitive Sensor Array Mat (602) device is a structure in which a plurality of capacitive sensors are arranged in a matrix, namely, Capacitive Sensor(1,1), Capacitive Sensor(m,n), in the row direction and the column direction. Means device. Each Capacitive Sensor(m,n) element generates a contact signal when a part of a human body such as a hand or foot approaches within a certain distance. In the Capacitive Sensor Array Mat (602), a plurality of specific capacitive sensor elements in the area where a part of the human body is in contact generates a contact signal, and the remaining capacitive sensor elements generate a non-contact signal. Is done.

As described above, the embodiment of the present invention has the following effects.

First, it provides the effect of enabling the implementation of a system that enables people with discomfort in their physical condition to take measures such as correction by detecting a posture sitting or standing in a chair.

Second, it provides an effect characterized by implementing a system capable of preventing the occurrence of bedsores through time management of the patient lying in bed.

Third, an effect characterized in that it is possible to implement a system capable of acquiring information and taking measures to control the state of sleep by detecting body posture patterns during sleep of ordinary people or to identify other symptoms of the body. Provides.

In addition, preferred embodiments of the present invention are for illustrative purposes, and those skilled in the art will be able to make various modifications, changes, substitutions and additions through the technical spirit and scope of the appended claims, and such modifications and changes will be made in the following claims. It should be viewed as belonging to the scope.

1 is a configuration diagram of a typical voltage conversion circuit.
2 is a block diagram of a half-wave rectified VDD power generation circuit of the present invention
3 is a block diagram of a strong-ARM Latch amplifying circuit for generating Sensing Detection Voltage of the present invention.
4 is an operation waveform diagram of the strong-ARM Latch amplifying circuit generating Sensing Detection Voltage of the present invention.
Figure 5 is a detailed circuit diagram of the present invention Capacitive Sensor unit 702.
6 is a configuration diagram of a pattern data analysis system for detecting body contact according to the present invention

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

1 is a configuration diagram of a typical voltage conversion circuit.

In a voltage conversion device that converts the AC input power supply 100 to the voltage of a low voltage DC power supply, it is usually composed of a transformer circuit 101, a rectifier circuit 102, and a circuit area of a Zener diode 104. do. In general, the transformer circuit 100 is a circuit region for converting high voltage input power into a low voltage.

The rectifier circuit 102 is a circuit region composed of half-wave or full-wave rectifier diodes for converting AC power into DC power. In general, the transformer circuit 100 becomes a circuit area that incurs a large area and cost in the configuration of the circuit.

Therefore, it acts as a disturbing factor in constructing a low-cost circuit.

On the other hand, the Zener diode 104 circuit region is disposed in parallel with the output terminal 103 of the rectifier circuit 102 in order to secure the output voltage characteristic of a constant voltage.

The output terminal 103 of the rectifying circuit 102 is used as the final output first power supply terminal 105.

2 is a block diagram of a half-wave rectified VDD power generation circuit according to the present invention.

In the voltage converter for converting the AC input power source to the voltage of a low voltage DC power source of the present invention, one electrode 201 of the AC input power source 200 is connected to one input terminal of the half-wave rectification circuit.

The other electrode 202 of the AC input power supply 200 is connected to a common ground terminal, GND.

One electrode 201 of the AC input power supply 200 is connected to the anode electrode of Diode D4.

The cathode electrode of Diode D4 is connected to one terminal of resistor R1, which is a current limiting element.

The other terminal 204 of the resistor R1 is commonly connected to the cathode of the Zener diode 206 and the anode electrode of the diode D5.

The Anode terminal of the Zener diode 206 is connected to a common ground terminal, GND.

A VDD power terminal, which is a low voltage output terminal, is connected to the cathode electrode of D5.

The VDD power terminal is connected to the VDD power terminal of the strong-ARM Latch amplifier circuit that generates Sensing Detection Voltage.

3 is a block diagram of a strong-ARM Latch amplifying circuit for generating Sensing Detection Voltage of the present invention.

The block configuration of the sensing detection voltage generation strong-ARM Latch amplification circuit is composed of the sensing detection voltage generation strong-ARM amplification unit 700, the CLK generation unit 701, and the capacitive sensor unit 702.

The sensing detection voltage generating strong-ARM amplifier 700 includes a precharge transistor 703 at the out- terminal, a precharge transistor 704 at the out+ terminal, a latch amplifier 705, S_1 signal input transistor 706, and S_2 signal. It is composed of input Sensing Detection Voltage generation transistor 707 and activation control transistor 708.

The precharge transistor 703 and the precharge transistor 704 are transistors used to precharge the out- and out+ terminals to a high voltage.

The latch amplification unit 705 is a circuit for amplifying out- and out+ terminals.

The S_1 signal input transistor 706 is a transistor element for inputting the S_1 signal of the capacitive sensor unit 702.

S_2 signal input The Sensing Detection Voltage generation transistor 707 is a transistor element for inputting the S_2 signal of the capacitive sensor unit 702.

In addition, the S_2 signal input Sensing Detection Voltage generation transistor 707 is configured by connecting a plurality of transistors in series or in parallel in order to generate a sensing detection voltage characteristic of a predetermined value different from the S_1 signal input transistor 706. It is characterized in that a difference from the S_1 signal input transistor 706 in the current driving capability by connecting.

The activation control transistor 708 activates an operation when the CLK signal is high and performs a precharge operation when the CLK signal is low.

The CLK generator 701 is a circuit block characterized in that it generates CLK, which is a clock signal of a certain period, by itself when power is applied.

The capacitive sensor unit 702 is a sensor circuit block that generates various sensor signals such as a temperature sensor, a magnetic sensor, and a gas sensor.

4 is an operation waveform diagram of the strong-ARM Latch amplifying circuit generating Sensing Detection Voltage of the present invention.

In the section in which the CLK signal of the CLK generator 701 is Low, the strong-ARM amplifying unit 700 for generating Sensing Detection Voltage is deactivated to perform a precharge operation.

On the other hand, in the section in which the CLK signal of the CLK generator 701 is high, the strong-ARM amplifying unit 700 generating Sensing Detection Voltage is activated to perform a normal amplification operation.

The circuit of the present invention is characterized in that the amplification operation and the precharge operation are periodically repeated in response to a certain frequency period of the CLK while power is being supplied.

5 is a detailed circuit diagram of the capacitive sensor unit 702 of the present invention.

The capacitive sensor unit 702 is a circuit configuration for detecting a fluctuation signal of capacitance in response to an approaching motion of a human body or another object.

It is composed of a capacitance sensing element and a sensitivity setting value control resistor RS 504 element.

The capacitance sensing element is composed of a thin film or thick dielectric insulating film 500 and a single Pad electrode 502.

The sensitivity setting value control resistor RS 504 element is connected to the S_1 signal and S_2 signal terminals of the strong-ARM amplifier 700 generating Sensing Detection Voltage.

The thin film or thick dielectric insulating film 500 is formed on the surface of the single pad electrode 502. The single pad electrode 502 terminal is configured by selectively connecting to one terminal of the S_1 signal or S_2 signal terminal of the strong-ARM amplifier 700 generating Sensing Detection Voltage.

The insulating film 500 includes vacuum and air, and includes various thin-film or thick-film electrical insulator insulating materials such as SiO2 and plastic materials.

The material of the pad electrode 502 includes all conductive materials such as Al, Cu, and Au.

The sensitivity setting value control resistor RS 504 element is an element for setting a sensing distance value when a human body, an animal, or other object approaches.

6 is a block diagram of a pattern data analysis system for detecting body contact according to the present invention.

The thing device 600 refers to a device corresponding to a target object of IoT (Internet of Things). In the present invention, the object device 600 includes a capacitive sensor array mat 602, which is a capacitive sensor arrangement device capable of generating a signal when a human body contacts it, and a response control corresponding to the sensor signal. It includes an Actuator 604, which is an execution device capable of processing signals. Capacitive Sensor Array Mat (602) is a structural device in which a plurality of capacitive sensors are arranged in a matrix in the row and column directions, that is, Capacitive Sensors (1,1), Capacitive Sensors (m,n), and Means. Each Capacitive Sensor(m,n) element generates a contact signal when a part of a human body such as a hand or foot approaches within a certain distance. Capacitive Sensor Array Mat (602) In the device, a plurality of specific capacitive sensor elements in the area where a part of the human body is in contact generates a contact signal, and the capacitive sensor ( Capacitive Sensor) devices generate a non-contact signal. Therefore, when a part of the human body is in contact within the capacitive sensor array mat 602, detection pattern data is generated based on the contact shape. Applied objects to which the Capacitive Sensor Array Mat 602 can be installed include devices that can contact a human body, such as various chairs and various beds. In addition, another application object includes a living room or a place where a person can lie down or sit on a flat place in which the Capacitive Sensor Array Mat 602 can be installed. In various embodiments, when the Capacitive Sensor Array Mat 602 is installed on a chair, a separate Capacitive Sensor Array Mat 602 is attached and installed on the floor, side, and back, respectively, so that the contact area of the body in each contact area. The pattern data for detection is collected. When the Capacitive Sensor Array Mat 602 device is installed on a bed, the Capacitive Sensor Array Mat 602 is spread and installed on the bed mattress to collect detection pattern data on the contact area of the body while sleeping or lying down. When the capacitive sensor array mat 602 is installed in an ondol room, the capacitive sensor array mat 602 is spread and installed on the ondol room to collect detection pattern data for the contact area of the body while sleeping or lying down. The actuator 604 is a device that analyzes and processes the collected detection pattern data and processes control signals for necessary manipulation measures. The control operation of the actuator 604 includes processing control operations such as height, angle, vibration, and temperature.

The interface circuit part 606 is connected to transmit the detection pattern data signal of the capacitive sensor array mat 602 and the control signal of the actuator 604. The signal transmitted to the interface circuit unit 606 is connected to the Internet network by a wireless or wired communication unit 608. The signal transmitted by the wireless or wired communication unit 608 is stored in the Internet Cloud storage system 610 to accumulate detection pattern data.

The body pattern analysis system 612 analyzes the detected pattern data accumulated in the Internet Cloud storage system 610 based on time, posture, and position. Body pattern analysis system 612 includes applying AI (Artificial Intelligence) analysis techniques such as machine learning and deep learning based on the accumulated detection pattern data, Big Data. .

The service system 614 provides a service through which a user can utilize specific pattern data analyzed by the body pattern analysis system 612. The service system 614 includes wired/wireless terminal devices such as mobile phones, PCs, and tablet PCs. As a service example of the service system 614, posture information is provided to a patient wearing a posture correction device.

In order to prevent bed sores in patients who have been lying down for a long time, information is provided, such as triggering a posture change action alert when lying in the same position for a certain period of time.

In addition, as a means to predict in advance the correlation between the sleep posture of the general person and the degree of fatigue in daily life or whether there is abnormality in the body, it analyzes and provides specific information during sleep by analyzing body posture pattern data when sleeping in bed. do.

100 input power
101 transformer circuit
102 rectifier circuit
104 Zener diode
105 first power supply terminal
200 input power

Claims (1)

In a distance perception-based physical contact detection pattern data analysis system that detects whether a part of a human body such as hands or feet approaches within a certain distance,
An object device 600; And
Capacitive Sensor Array Mat 602; And
Actuator 604; And
Interface circuit part 606; And
A wireless or wired communication unit 608; And
Internet Cloud storage system 610; And
Body Pattern Analysis System (612); And
Consisting of a service system 614,
In the thing device 600,
The object device 600 includes the capacitive sensor array mat 602, which is a capacitive sensor arrangement device capable of generating a signal when a human body is in contact, and a response control signal corresponding to the sensor signal. Including the Actuator 604, which is an execution device capable of processing,
The capacitive sensor generates a contact signal when a part of a human body such as a hand or foot approaches within a certain distance,
The capacitive sensor includes one single Pad electrode 502 terminal,
A thin film or thick dielectric insulating film 500 is formed on the surface of the single pad electrode 502,
The single pad electrode 502 terminal is selectively connected to one terminal of the S_1 signal or S_2 signal terminal of the strong-ARM amplifier 700 generating Sensing Detection Voltage,
In the Capacitive Sensor Array Mat 602, a plurality of the capacitive sensors are arranged in a matrix form in a row direction and a column direction,
In the Capacitive Sensor Array Mat (602),
A plurality of specific proximity capacitive sensor elements in the area where a part of the human body is in contact generates a contact signal, and a plurality of non-proximity capacitive sensors in the area where the other part of the human body is not contacted. The devices generate sensing pattern data characterized by generating a non-contact signal,
The interface circuit unit 606 is connected to transmit the detection pattern data of the capacitive sensor array mat 602 and the control signal of the actuator 604,
The signal transmitted to the interface circuit unit 606 is connected to the Internet network by the wireless or wired communication unit 608,
The signal transmitted by the wireless or wired communication unit 608 is stored in the Internet Cloud storage system 610 to accumulate the detection pattern data,
The body pattern analysis system 612 analyzes the detection pattern data accumulated in the Internet Cloud storage system 610,
The body pattern analysis system 612 includes applying an artificial intelligence (AI) analysis technique such as machine learning and deep learning based on the accumulated detection pattern data, The service system (614) provides a service through which a user can utilize the specific pattern data analyzed by the body pattern analysis system (612).

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