CN108670259A - Human behavior recognition device and system based on wearable sensor - Google Patents
Human behavior recognition device and system based on wearable sensor Download PDFInfo
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- CN108670259A CN108670259A CN201810185758.5A CN201810185758A CN108670259A CN 108670259 A CN108670259 A CN 108670259A CN 201810185758 A CN201810185758 A CN 201810185758A CN 108670259 A CN108670259 A CN 108670259A
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- 238000012545 processing Methods 0.000 claims abstract description 29
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000005452 bending Methods 0.000 claims abstract description 22
- 238000004891 communication Methods 0.000 claims description 48
- 230000006399 behavior Effects 0.000 claims description 29
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 claims description 13
- 239000000758 substrate Substances 0.000 claims description 8
- 229910052759 nickel Inorganic materials 0.000 claims description 7
- 239000011231 conductive filler Substances 0.000 claims description 6
- 229920000049 Carbon (fiber) Polymers 0.000 claims description 4
- 239000004917 carbon fiber Substances 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 4
- 229920001634 Copolyester Polymers 0.000 claims description 3
- 230000033001 locomotion Effects 0.000 claims description 3
- 229920001296 polysiloxane Polymers 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 12
- 210000000629 knee joint Anatomy 0.000 abstract description 5
- 210000000544 articulatio talocruralis Anatomy 0.000 abstract description 3
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- 238000010586 diagram Methods 0.000 description 5
- 230000035945 sensitivity Effects 0.000 description 3
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 210000003414 extremity Anatomy 0.000 description 2
- 230000036541 health Effects 0.000 description 2
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- 229910052744 lithium Inorganic materials 0.000 description 2
- WJZHMLNIAZSFDO-UHFFFAOYSA-N manganese zinc Chemical compound [Mn].[Zn] WJZHMLNIAZSFDO-UHFFFAOYSA-N 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 229920000642 polymer Polymers 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000001747 exhibiting effect Effects 0.000 description 1
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- 230000009916 joint effect Effects 0.000 description 1
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- 229910052748 manganese Inorganic materials 0.000 description 1
- 239000011572 manganese Substances 0.000 description 1
- 230000004630 mental health Effects 0.000 description 1
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 1
- 229910052753 mercury Inorganic materials 0.000 description 1
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 1
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- Medical Informatics (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Geometry (AREA)
- Dentistry (AREA)
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- Oral & Maxillofacial Surgery (AREA)
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Abstract
The invention discloses a human body behavior recognition device based on a wearable sensor and a system thereof, and the human body behavior recognition device comprises a data detection module arranged at a human body joint, a data processing module connected to a display device and a data display module used for displaying data, wherein the data detection module, the data processing module and the data display module are sequentially connected. The invention can accurately sense the bending information of the human body joints by flexibly wearing the data detection modules at different joints of the human body, wherein the human body joints comprise the joints which can flexibly move, such as knee joints, wrist joints, elbow joints, ankle joints and the like, the daily behavior and activity information of the human body can be collected by the bending information of the human body joints, and the invention has the advantages of high flexibility, high portability and the like.
Description
Technical Field
The invention relates to the field of wearable electronic equipment application, in particular to a human behavior recognition device based on a wearable sensor and a system thereof.
Background
In recent years, wearable devices have received much attention because they play a crucial role in human health monitoring. The human behavior recognition is an important research direction in health monitoring, and mainly analyzes and recognizes the daily behavior pattern and the action category of a human body. The human body behavior identification has wide application prospect due to the fact that the human body daily behavior is closely related to the physical and mental health of an individual.
However, most of the existing research directions are based on machine vision or apply a rigid sensor to large-scale equipment such as a seat, such recognition devices are often costly, complex in structure and poor in portability, and in addition, the mode based on machine vision is also easily affected by factors such as illumination and equipment.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide a wearable sensor-based human behavior recognition apparatus and a system thereof, which can accurately sense bending information of joints of a human body, collect daily behavior activity information of the human body, and have the advantages of high ductility, high flexibility, high sensitivity, high portability, and the like.
The technical scheme adopted by the invention for solving the problems is as follows:
the utility model provides a human action recognition device based on wearable sensor which characterized in that: the human body joint detection device comprises a data detection module and a data processing module, wherein the data detection module is arranged at a human body joint, the data processing module is connected to a display device, and the output end of the data detection module is connected to the data processing module.
Further, the data detection module includes the resistance-type sensor that is used for wearing at human joint department and detects the crooked information in joint department, resistance-type sensor includes induction circuit and is used for following human joint activity and takes place the resistance strain gauge of flexible deformation, resistance strain gauge is connected to data processing module through induction circuit.
Further, the resistance strain gauge comprises a substrate and a conductive filler added into the substrate, wherein the substrate is a copolyester silicone material, and the conductive filler comprises nickel nanochains and nickel-plated carbon fibers.
Furthermore, the sensing circuit is a voltage division circuit or a Wheatstone bridge, and the resistance strain gauge and the data processing module are connected through the voltage division circuit or the Wheatstone bridge.
Further, the data processing module comprises a power module, a microcontroller, a storage module and a communication module for connecting to the display device, and the microcontroller is respectively connected with the data detection module, the power module, the storage module and the communication module.
Further, the microcontroller is Arduino, rfuino or Simblee.
Further, the storage module is a flash memory or a random access memory, and the flash memory includes an SD card or a memory stick.
Further, the communication module comprises a wireless communication module, the wireless communication module is connected to the microcontroller, and the wireless communication module is a bluetooth module, a Wi-Fi module, a 2G communication module, a 3G communication module, a 4G communication module, a ZigBee module or a GPRS module.
Further, the communication module includes a wired communication module connected to the microcontroller.
Further, the power module is an alkaline battery or a button battery.
The system applying the human body behavior recognition device based on the wearable sensor is characterized in that: the device also comprises a data display module, and the data display module is connected with the data processing module.
Further, the data display module comprises an intelligent terminal, and the intelligent terminal is a computer, an intelligent mobile phone, a tablet personal computer or an intelligent watch.
The beneficial effects of the invention are: the invention discloses a human behavior recognition device based on a wearable sensor and a system thereof. The invention can accurately sense the bending information of the human body joints by flexibly wearing the data detection modules at different joints of the human body, wherein the human body joints comprise the joints which can flexibly move, such as knee joints, wrist joints, elbow joints, ankle joints and the like, the daily behavior and activity information of the human body can be collected by the bending information of the human body joints, and the invention has the advantages of high flexibility, high portability and the like.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is an overall circuit schematic block diagram of a human behavior recognition device based on a wearable sensor and a system thereof according to the present invention;
fig. 2 is a schematic block diagram of a specific circuit of the wearable sensor-based human behavior recognition device and the system thereof according to the present invention;
FIG. 3 is a schematic diagram of a wearable sensor-based human behavior recognition device and a system thereof for detecting knee bending information of a human body according to the present invention;
FIG. 4 is a schematic diagram of a connection relationship between a data detection module and a data processing module when a sensing circuit of the wearable sensor-based human behavior recognition apparatus and the system thereof adopts a voltage division circuit mode;
fig. 5 is a schematic diagram of a connection relationship between data processing modules of the wearable sensor-based human behavior recognition apparatus and the system thereof according to the present invention.
Detailed Description
Referring to fig. 1-5, the invention relates to a human behavior recognition device based on a wearable sensor and a system thereof.
Referring to fig. 1, a wearable sensor-based human behavior recognition apparatus includes a data detection module 100 for being disposed at a joint of a human body and a data processing module 200 for being connected to a display device, an output of the data detection module 100 being connected to the data processing module 200. In addition, the system applying the human body behavior recognition device based on the wearable sensor further comprises a data display module 300, and the data display module 300 is connected with the data processing module 200.
The data detection module 100 can sense bending information of the human body joint in a wearable sensor mode, such as bending degree and corresponding bending time, and send the bending information to the data processing module 200, and the data processing module 200 can perform digital-to-analog conversion on the received bending information analog quantity of the human body joint to obtain a digital signal and send the digital signal to the data display module 300 for display.
The invention can accurately sense the bending information of human joints by flexibly wearing the data detection module 100 at different joints of the human body, wherein the human joints comprise joints with telescopic activities such as knee joints, wrist joints, elbow joints, ankle joints and the like, for example, in fig. 3, the data detection module 100 is worn at the knee joints of the human body to sense the bending information of the knee joints, thereby obtaining the daily behavior activity information of the human body; meanwhile, the data processing module 200 can be placed in a pocket of clothes and trousers or on a waistband, so that the carrying is convenient; in addition, the data display module 300 includes an intelligent terminal, and the intelligent terminal is a computer, a smart phone, a tablet computer or a smart watch. The communication mode between the data display module 300 and the data processing module 200 may be a wired communication mode or a wireless communication mode, and preferably, the communication mode between the data display module 300 and the data processing module 200 is a wireless communication mode as shown in fig. 3, and no communication line affects normal limb activities of a human body, so that the data display module is simple and convenient.
Referring to fig. 2, further, the data detection module 100 includes a resistive sensor for wearing on a joint of a human body and detecting bending information of the joint, the resistive sensor includes a sensing circuit 120 and a resistance strain gauge 110 for flexibly deforming following the movement of the joint of the human body, and the resistance strain gauge 110 is connected to the data processing module 200 through the sensing circuit 120. The data detection module 100 senses bending information of a human joint through a resistive sensor.
Further, the resistive strain gage 110 includes a substrate of a copolyester silicone material and a conductive filler for adding to the substrate, the conductive filler including Nickel nanochains (Nickel nanostrings) and Nickel Coated Carbon fibers (Nickel Coated Carbon Fiber). The resistivity of the resistive strain gage 110 decreases with increasing strain experienced, exhibiting a counter-pressure effect. The resistive strain gage 110 constructed of a silicone-nickel nanocomposite material senses a wide range of deformation while maintaining good conductivity and sensitivity, and is low cost. The two ends of the resistance strain gauge 110 are fixed at the joints of the human body by using the muscle effect patch, and the bending information of the joints can be accurately sensed due to the advantages of high sensitivity, high ductility and the like.
Further, the sensing circuit 120 is a voltage dividing circuit or a wheatstone bridge, and the resistance strain gauge 110 and the data processing module 200 are connected through the voltage dividing circuit or the wheatstone bridge. As shown in fig. 4, the sensing circuit 120 is a voltage divider circuit. Specifically, the resistance strain gauge 110 and the voltage dividing resistor 121 in this embodiment are connected in series, and the resistance value of the voltage dividing resistor 121 and the resistance value of the resistance strain gauge 110 in the steady state are equal.
Further, the data processing module 200 includes a power module 220, a microcontroller 210, a storage module 230, and a communication module 240 for connecting to a display device, wherein the microcontroller 210 is connected to the data detection module 100, the power module 220, the storage module 230, and the communication module 240, respectively. The power module 220 provides electric energy for the microcontroller 210, so that the device can work normally, the microcontroller 210 can receive joint bending analog signals sent by the data detection module 100, obtain joint bending digital signals through digital-to-analog conversion, send the joint bending digital signals to the data display module 300 through the communication module 240 for display, and send the joint bending analog signals to the storage module 230 for data storage.
Further, the microcontroller 210 is Arduino, rfuino or Simblee. Arduino is a convenient, flexible and convenient open-source electronic prototype platform. It mainly consists of two main parts: a hardware part (various models of Arduino boards) and a software part (Arduino IDE). The hardware part is an Arduino circuit board which can be used for circuit connection; the software component is the Arduino IDE, a program development environment in computers. The RFduino is a fingertip-size-only electronic prototype platform provided with a 32-bit processor, is provided with a plurality of bus expanders and is compatible with an Arduino open source platform. Simblee is a great improvement over RFduino bluetooth transmission, and is delayed by only 3 ms in signal processing, which already enables motion tracking. And on network device synchronization, 10 microsecond accuracy is achieved. Wearable devices that do this are not only expensive, but can only be connected to fixed devices. In addition, simblee has good anti-interference capability and can be used in various environments.
Further, the storage module 230 is a flash memory or a random access memory, and the flash memory includes an SD card 231 or a memory stick. The flash EPROM is a form of electronically erasable programmable read-only memory (EEPROM). Flash memory allows multiple erases or writes during operation and is non-volatile, i.e., it requires no power to save data on a single finger. Flash memory differs from conventional EEPROM in that it is erased in larger blocks, whereas conventional EEPROM only erases and rewrites a single memory location. This makes flash a significant advantage when writing large amounts of data. The Random Access Memory (RAM) is also called as random access memory, can be read and written at any time, has high speed, can be randomly taken out or stored in the memory unit according to the requirement, and has no relation with the position of the memory unit. Such a memory loses its memory contents when power is off, and is therefore mainly used for storing programs for short-term use.
Further, the communication module 240 includes a wireless communication module, the wireless communication module is connected to the microcontroller 210, and the wireless communication module is a bluetooth module 241, a Wi-Fi module, a 2G communication module, a 3G communication module, a 4G communication module, a ZigBee module, or a GPRS module.
Further, the communication module 240 includes a wired communication module, which is connected to the microcontroller 210.
For the wireless communication module and the wired communication module, preferably, the wireless communication module is adopted, and normal limb activities of a human body are not influenced by communication lines, so that the wireless communication module and the wired communication module are simple and convenient.
Further, the power module 220 is an alkaline battery or a button battery. The alkaline battery is also called an alkaline dry battery, an alkaline zinc-manganese battery and an alkaline manganese battery, is a variety with optimal performance in a zinc-manganese battery series, and is suitable for large discharge capacity and long-time use. The battery has lower internal resistance, so the generated current is larger than that of the common carbon battery, and the battery does not contain mercury, so the battery can be treated with the household garbage and does not need to be recycled intentionally. The button cell is also called a button cell, and refers to a cell with an external dimension like a small button, generally speaking, the diameter is larger, the thickness is thinner, and the button cell is divided from the external dimension to the cell.
Referring to fig. 4 and 5, the sensing circuit 120 adopts a voltage dividing circuit mode, so that a voltage dividing resistor 121 exists, the microcontroller 210 adopts an Arduino Nano211, the power module 220 adopts a lithium polymer battery 221, the storage module 230 adopts an SD card, and the communication module 240 adopts a bluetooth module 241. Arduino Nano211 is supplied power by polymer lithium cell 221, provides 5V's input voltage for data detection module 100. The resolution of each A/D converter (i.e., six analog input ports A0-A5) of Arduino Nano211 is 10 bits (i.e., the analog values read are between 0-1023), so that the information about joint flexion collected by the resistive sensor can be converted into a voltage distribution. Specifically, the A0 port of the Arduino Nano211 in this example is capable of obtaining a received value between 0-1023, which is used to represent information about the curvature of the human joint.
Further, the storage device in this embodiment uses the SD card 231 with the smallest size, and such a memory card can be freely inserted and removed, which is very convenient to use.
Further, the wireless communication module is a Bluetooth module 241 with the model of HC-06. This bluetooth module 241 small in size, transmission distance can reach 10 meters, has improved the portability and the reliability of device. The microcontroller 210 in this embodiment provides a working voltage of 5V for the bluetooth module 241, and can send the bending information of the joints of the human body to the intelligent terminal of the user, i.e., the data display module 300, through the bluetooth module 241, and at the same time, can store the information in the storage module 230 for subsequent data analysis. The data display module 300 is used for displaying basic information such as duration, degree and the like of various daily activities of the human body, providing consumed energy for a user according to activities in one day and giving suggestions.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and the present invention shall fall within the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means.
Claims (10)
1. The utility model provides a human action recognition device based on wearable sensor which characterized in that: comprises a data detection module (100) arranged at a joint of a human body and a data processing module (200) connected to a display device, wherein the output end of the data detection module (100) is connected to the data processing module (200).
2. The wearable sensor based human behavior recognition device of claim 1, wherein: the data detection module (100) comprises a resistance-type sensor which is worn at a human joint and used for detecting bending information at the joint, the resistance-type sensor comprises a sensing circuit (120) and a resistance strain gauge (110) which is used for flexibly deforming along with the movement of the human joint, and the resistance strain gauge (110) is connected to the data processing module (200) through the sensing circuit (120).
3. The wearable sensor-based human behavior recognition device according to claim 2, wherein: the resistance strain gauge (110) comprises a substrate and a conductive filler added into the substrate, wherein the substrate is a copolyester silicone material, and the conductive filler comprises nickel nanochains and nickel-plated carbon fibers.
4. The wearable sensor-based human behavior recognition device according to claim 2, wherein: the sensing circuit (120) is a voltage division circuit or a Wheatstone bridge, and the resistance strain gauge (110) and the data processing module (200) are connected through the voltage division circuit or the Wheatstone bridge.
5. The wearable sensor based human behavior recognition device of claim 1, wherein: the data processing module (200) comprises a power supply module (220), a microcontroller (210), a storage module (230) and a communication module (240) for connecting to a display device, wherein the microcontroller (210) is respectively connected with the data detection module (100), the power supply module (220), the storage module (230) and the communication module (240).
6. The wearable-sensor-based human behavior recognition device according to claim 5, wherein: the microcontroller (210) is Arduino, RFduino or Simblee.
7. The wearable-sensor-based human behavior recognition device according to claim 5, wherein: the storage module (230) is a flash memory or a random access memory, and the flash memory comprises an SD card (231) or a memory stick.
8. The wearable-sensor-based human behavior recognition device according to claim 5, wherein: the communication module (240) comprises a wireless communication module, the wireless communication module is connected to the microcontroller (210), and the wireless communication module is a Bluetooth module (241), a Wi-Fi module, a 2G communication module, a 3G communication module, a 4G communication module, a ZigBee module or a GPRS module.
9. The wearable-sensor-based human behavior recognition device according to claim 5, wherein: the communication module (240) comprises a wired communication module connected to the microcontroller (210).
10. A system using the wearable sensor based human behavior recognition device of any of claims 1-9, wherein: the device also comprises a data display module (300), wherein the data display module (300) is connected with the data processing module (200).
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| CN201810185758.5A CN108670259A (en) | 2018-03-07 | 2018-03-07 | Human behavior recognition device and system based on wearable sensor |
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| CN201810185758.5A CN108670259A (en) | 2018-03-07 | 2018-03-07 | Human behavior recognition device and system based on wearable sensor |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109717873A (en) * | 2019-01-08 | 2019-05-07 | 上海海事大学 | A kind of arthrogryposis degree acquisition system |
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| US6334852B1 (en) * | 1998-02-20 | 2002-01-01 | Motionwatch L.L.C. | Joint movement monitoring system |
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