CN205568954U - A sensor circuit for gathering human motion signal - Google Patents

A sensor circuit for gathering human motion signal Download PDF

Info

Publication number
CN205568954U
CN205568954U CN201520873823.5U CN201520873823U CN205568954U CN 205568954 U CN205568954 U CN 205568954U CN 201520873823 U CN201520873823 U CN 201520873823U CN 205568954 U CN205568954 U CN 205568954U
Authority
CN
China
Prior art keywords
amplifier
connects
circuit
reset
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201520873823.5U
Other languages
Chinese (zh)
Inventor
林焯华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Alubi Electronic Technology Co Ltd
Original Assignee
Guangzhou Alubi Electronic Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Alubi Electronic Technology Co Ltd filed Critical Guangzhou Alubi Electronic Technology Co Ltd
Priority to CN201520873823.5U priority Critical patent/CN205568954U/en
Application granted granted Critical
Publication of CN205568954U publication Critical patent/CN205568954U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The utility model discloses a sensor circuit for gathering human motion signal, move signal modules and bluetooth module including microcontroller, motion seizure circuit, flesh electricity signal circuit, flesh. The utility model discloses an use the accelerometer based on the MEMS technique, gyroscope and magnetometer, in order to acquire human acceleration in the motion process, physical quantitys such as angular speed, it obtains human motion attitude parameter to handle these information through data fusion algorithm, use three surface electromyography electrode pair muscle telecommunications collection, enlarge the signal through circuit design, multistage gain is adjustable and hardware filtering, improve the SNR, paste on human skin surface through the digital microphone wind that uses the MEMS technique, in order to gather the transverse vibration mechanics information of muscle when initiatively contracting.

Description

A kind of sensor circuit for gathering human motion signal
Technical field
This utility model relates to a kind of sensor circuit, particularly relates to a kind of for gathering human motion signal Sensor circuit.
Background technology
Under the overall situation of technology of Internet of things fast development, human body behavior or state are digitized, especially It it is the research of kinesiology and terms of mechanics, it is proposed that new technology requirement.It is better understood when and divides Analysis human motion state, sets up correct mathematical model to it, grasps between kinematic parameter and mechanics parameter Relation, changes each other, compensates and verifies, then firstly the need of have equipment can quantify the joint motions of human body with And muscle tendons power state.
Currently for kinesiology or the instrument of mechanical analysis, such as motion capture system based on photographic head technology, Or based on electrode gather myoelectric sensor, itself all can only solely detect attitude information or muscle electricity Information.China's researcher has been carried out some at medical field and has been moved signal combination to realize about myoelectricity and flesh The research that multi-freedom artificial limb controls, these researchs establish the muscle signal detection model on some bases, with Realize the assessment of body mechanics's aspect parameter, but owing to lacking motion-captured function, it is impossible to study with kinesiology Unify, and achievement in research forms industry the most further.External by motion-captured and muscle letter The technology such as number analysis are applied in industry, but product mostly is motion analysis or the mechanical analysis system of function singleness, Lack the function that both blend, need to buy two or more equipment simultaneously and be just provided that kinesiology and Li Detection data needed for are to support founding mathematical models.
Utility model content
The purpose of this utility model is that provides a kind of for gathering human motion to solve the problems referred to above The sensor circuit of signal.
This utility model is achieved through the following technical solutions above-mentioned purpose:
This utility model includes that microcontroller, motion-captured circuit, electromyographic signal circuit, flesh move signaling module And bluetooth module, described motion-captured circuit, described electromyographic signal circuit and described flesh move the letter of signaling module Number outfan all signal input parts with described microcontroller are connected, the signal output part of described microcontroller with The signal input part of described bluetooth module connects.
This utility model is preferred, and described motion-captured circuit includes Inertial Measurement Unit and magnetic sensor, The SDA end of described Inertial Measurement Unit and the SDA/SDO end of described magnetic sensor are micro-with described after connecting The PB3 end of controller connects, the SCL end of described Inertial Measurement Unit and described magnetic sensor SCL/SPC end is connected with the PB10 end of described microcontroller after connecting, the INT1 of described Inertial Measurement Unit End is connected with the PA1 end of described microcontroller, the INT2 end of described Inertial Measurement Unit and described microcontroller PA0 end connect.
This utility model is preferred, and described electromyographic signal circuit includes the first amplifier, the second amplifier and filter Ripple device, is connected with the first probe after VIN-end series connection the 30th capacitor of described first amplifier, described the It is connected with the second probe after VIN+ end series connection the 35th capacitor of one amplifier, described first amplifier VOUT end respectively with the REF end of described first amplifier, the IND+ end of described second amplifier and described The OUTC end of the second amplifier connects, the INB-end of described second amplifier respectively with described second amplifier INA-end, the OUTA end of described second amplifier, the OUTB end of described second amplifier and the 3rd visit Head connects, the INB+ end of described second amplifier respectively with the INC+ end of described second amplifier, described the The INC-end of two amplifiers, the OUTD end of described second amplifier, the PB12 end of described microprocessor and The IN end of described wave filter connects, and the CLK end of described wave filter is connected with the PC14 end of described microprocessor, The SHDN end of described wave filter is connected with the PC13 end of described microprocessor, the OUT terminal of described wave filter It is connected with the PC15 end of described microprocessor.
This utility model is preferred, and described flesh moves signaling module and includes the first digital microphone and the second numeral wheat Gram wind, the LCK end of described first digital microphone respectively with the LCK end of described second digital microphone and The PB13 end of described microprocessor connects, and the DOUT end of described first digital microphone is respectively with described the The DOUT end of two digital microphones and the PB15 of described microprocessor connect.
This utility model is preferred, and described bluetooth module includes Bluetooth chip, the RESET of described Bluetooth chip End is connected with the PA8 end of described microprocessor, the TXD end of described Bluetooth chip and described microprocessor PA10 end connects, and the RXD end of described Bluetooth chip is connected with the PA9 end of described microprocessor, described indigo plant The RTS end of tooth chip is connected with the PA11 end of described microprocessor, the CTS end of described Bluetooth chip and institute The PA12 end stating microprocessor connects, the LPO end of described Bluetooth chip and the PA14 end of described microprocessor Connect.
This utility model is preferred, and described microprocessor connects reset circuit, passes through connector between it Connect, the PA13 end of described microcontroller respectively with the 3rd end of described connector and the 4th two-phase diode First end connects, the second end of described 4th two-phase diode respectively with the 5th end of described connector, the 5th First end of the first end of two-phase diode and the 3rd two-phase diode connect after ground connection, the of described connector One end the second end with DC source and described 3rd two-phase diode respectively is connected, described microcontroller PA14 end respectively with the second end and the three-terminal link of described connector of described 5th two-phase diode.
This utility model is preferred, and described reset circuit includes the first reset chip, the second reset chip and answers Bit switch, the IN end of described first reset chip respectively with the GND end of the first reset chip, described second First end of the VCC end of reset chip, the first end of reset switch and described connector connects, described reset Second end of switch is connected with the IN end of described second reset chip, the EN end string of described first reset chip After joining the second diode, the OUT terminal with described second reset chip is connected, the OUT of described first reset chip End is connected with DC source.
The beneficial effects of the utility model are:
This utility model is by using accelerometer based on MEMS technology, gyroscope and magnetometer, to obtain The physical quantitys such as human body acceleration in motor process, angular velocity, by data anastomosing algorithm these information Carry out process and obtain human motion attitude parameter, use three surface myoelectric electrodes that muscle telecommunications is acquired, Be amplified by signal by circuit design, multistage gain is adjustable and hardware filtering, improves signal to noise ratio, passes through The digital microphone using MEMS technology is attached to human skin, to gather muscle when actively shrinking Oscillation crosswise mechanical information.
Accompanying drawing explanation
Fig. 1 is the circuit diagram that flesh described in the utility model moves signaling module;
Fig. 2 is the circuit diagram of electromyographic signal circuit described in the utility model;
Fig. 3 is the circuit diagram of motion-captured circuit described in the utility model;
Fig. 4 is the circuit diagram of microcontroller described in the utility model;
Fig. 5 is the circuit diagram of bluetooth module described in the utility model;
Fig. 6 is the circuit diagram of filter circuit described in the utility model;
Fig. 7 is the circuit diagram of reset circuit described in the utility model.
Detailed description of the invention
The utility model is described in further detail below in conjunction with the accompanying drawings:
This utility model includes that microcontroller, motion-captured circuit, electromyographic signal circuit, flesh move signaling module And bluetooth module, motion-captured circuit, electromyographic signal circuit and flesh move the signal output part of signaling module all with The signal input part of microcontroller connects, the signal output part of microcontroller and the signal input part of bluetooth module Connect.
As shown in Figure 3 and Figure 4, motion-captured circuit includes Inertial Measurement Unit U14 and magnetic sensor U13, With microcontroller after the SDA end of Inertial Measurement Unit U14 and the SDA/SDO end connection of magnetic sensor U13 The PB3 end of device U18 connects, the SCL end of Inertial Measurement Unit U14 and magnetic sensor U13's SCL/SPC end is connected with the PB10 end of microcontroller U18 after connecting, the INT1 of Inertial Measurement Unit U14 End is connected with the PA1 end of microcontroller U18, the INT2 end of Inertial Measurement Unit U14 and microcontroller U18 PA0 end connect.
As shown in Fig. 2, Fig. 4 and Fig. 6, electromyographic signal circuit includes the first amplifier U8, the second amplifier With first after VIN-end series connection the 30th capacitor C30 of U12 and wave filter U20, the first amplifier U8 Probe E4 connects, and visits with second after VIN+ end series connection the 35th capacitor C35 of the first amplifier U8 Head E5 connects, the VOUT end of the first amplifier U8 respectively with the REF end of the first amplifier U8, second The IND+ end of amplifier U12 and the OUTC end of the second amplifier U12 connect, the second amplifier U12's INB-end respectively with the INA-end of the second amplifier U12, the OUTA end of the second amplifier U12, second The OUTB end of amplifier U12 and the 3rd probe E6 connect, the INB+ end of the second amplifier U12 respectively with The INC+ end of the second amplifier U12, the INC-end of the second amplifier U12, the second amplifier U12 The IN end of OUTD end, the PB12 end of microprocessor U18 and wave filter U20 connects, wave filter U20 CLK end be connected with the PC14 end of microprocessor U18, the SHDN end of wave filter U20 and microprocessor The PC13 end of U18 connects, and the OUT terminal of wave filter U20 is connected with the PC15 end of microprocessor U18.
As shown in Figure 1 and Figure 4, flesh move signaling module include the first digital microphone U11 and second numeral wheat Gram wind U15, the LCK end of the first digital microphone U11 respectively with the LCK of the second digital microphone U15 The PB13 end of end and microprocessor U18 connects, and the DOUT end of the first digital microphone U11 is respectively with the The DOUT end of two digital microphone U15 and the PB15 of microprocessor U18 connect.
As shown in Figure 4 and Figure 5, bluetooth module includes Bluetooth chip U21, the RESET of Bluetooth chip U21 End is connected with the PA8 end of microprocessor U18, and the TXD end of Bluetooth chip U21 is with microprocessor U18's PA10 end connects, and the RXD end of Bluetooth chip U21 is connected with the PA9 end of microprocessor U18, bluetooth core The RTS end of sheet U21 is connected with the PA11 end of microprocessor U18, the CTS end of Bluetooth chip U21 with The PA12 end of microprocessor U18 connects, the LPO end of Bluetooth chip U21 and the PA14 of microprocessor U18 End connects.
As shown in figs. 4 and 7, on microprocessor U18, connection has reset circuit, passes through connector between it CN1 connects, the PA13 end of microcontroller U18 respectively with the 3rd end and the 4th two-phase two of connector CN1 Pole pipe D4 first end connect, second end of the 4th two-phase diode D4 respectively with the 5th of connector CN1 Ground connection after the first end connection of end, first end of the 5th two-phase diode D5 and the 3rd two-phase diode D5 First end of GND, connector CN1 is respectively with second end of DC source and the 3rd two-phase diode D3 even Connect, the PA14 end of microcontroller U18 respectively with the second end and the connector CN1 of the 5th two-phase diode D5 Three-terminal link.
As it is shown in fig. 7, reset circuit includes that the first reset chip U9, the second reset chip U10 and reset are opened Close SW1, the IN end of the first reset chip U9 respectively with the GND end of the first reset chip U9, second multiple First end of the position VCC end of chip U10, first end of reset switch SW1 and connector CN1 connects, Second end of reset switch SW1 and the IN end of the second reset chip U10 connect, the first reset chip U9 EN end connect and be connected with the OUT terminal of the second reset chip U10 after the second diode D2, first resets The OUT terminal of chip U9 is connected with DC source.
Operation principle of the present utility model is as follows:
As shown in Fig. 1-Fig. 7, operation principle of the present utility model is as follows:
This utility model mainly includes motion-captured circuit, electromyographic signal circuit, flesh move signaling module, micro- Controller and the big hardware components of bluetooth module five, in motion-captured circuit, Inertial Measurement Unit U14 mainly collects Accelerometer and gyroscope, magnetic sensor U13 has been become to be integrated with magnetometer, by suitable algorithm number According to fusion, to obtain kinematics parameters;Electromyographic signal main circuit will be by the bio electricity faint to human muscle Signal is amplified and filters, to obtain the state that muscle is energized in motor process;Flesh moves signaling module Mainly by using digital microphone to be attached to muscle skin surface, to obtain muscle oscillation crosswise in motor process Mechanics parameter;The data that each module transfer is mainly come by microcontroller are demarcated, correct, are merged, so By bluetooth module, the data processed are sent to upper main control computer afterwards show in real time, analyze and preserve.
In above process, Inertial Measurement Unit U14 and magnetic sensor U13 collects acceleration respectively, Angular velocity and magnetic direction, be transferred to microcontroller U18 by IIC interface;Digital microphone U11 and U15 The flesh collected moves signal and is transferred to microcontroller U18, the first amplifier amplifier U8 and the second amplifier U12 The electromyographic signal collected is transferred to microcontroller U18, microcontroller U18 handle after being filtered by wave filter U20 The data collected carry out data fusion, finally the data after process are transferred to by bluetooth module U21 Position machine.
By selecting three axis accelerometer based on MEMS technology, three-axis gyroscope and three axle magnetometers also use 32 Cortex-A4 High Speed Microcontroller carry out algorithm fusion to realize human body motion capture and analysis to data Function, selects signal amplification circuit based on MEMS technology and filter circuit to carry out surface electromyogram signal acquisition, Realize noise suppression and the adjustable function of signal amplification factor, select digital microphone elegance based on MEMS technology Collection flesh moves signal, and the accelerometer mode more single than tradition has higher resolution and sensitivity, sensor Weight less than legacy equipment volume is light, can conveniently be worn on human body limb and examine at indoor or outdoors Survey and use.
In sum, this utility model is by using accelerometer based on MEMS technology, gyroscope and magnetic force Meter, to obtain the physical quantitys such as human body acceleration in motor process, angular velocity, passes through data anastomosing algorithm These information are carried out process and obtains human motion attitude parameter, use three surface myoelectric electrodes to muscle electricity Letter is acquired, and is amplified by signal by circuit design, multistage gain is adjustable and hardware filtering, improves Signal to noise ratio, by using the digital microphone of MEMS technology to be attached to human skin, exists gathering muscle Oscillation crosswise mechanical information when actively shrinking.
Those skilled in the art, without departing from essence of the present utility model and spirit, can have various deformation scheme real Existing this utility model, the foregoing is only the embodiment that this utility model is the most feasible, not thereby office Limit interest field of the present utility model, the equivalence knot that all utilization this utility model description and accompanying drawing content are made Structure changes, within being both contained in interest field of the present utility model.

Claims (7)

1. the sensor circuit being used for gathering human motion signal, it is characterised in that: include microcontroller, fortune Dynamic seizure circuit, electromyographic signal circuit, flesh move signaling module and bluetooth module, described motion-captured electricity Road, described electromyographic signal circuit and described flesh move the signal output part of signaling module all with described microcontroller The signal input part of device connects, the signal output part of described microcontroller and the signal of described bluetooth module Input connects.
A kind of sensor circuit for gathering human motion signal the most according to claim 1, its feature exists In: described motion-captured circuit includes Inertial Measurement Unit and magnetic sensor, described inertia measurement list With described microcontroller after the SDA end of unit and the SDA/SDO end connection of described magnetic sensor PB3 end connects, the SCL end of described Inertial Measurement Unit and the SCL/SPC end of described magnetic sensor After connection, the PB10 end with described microcontroller is connected, the INT1 end of described Inertial Measurement Unit and institute The PA1 end stating microcontroller connects, the INT2 end of described Inertial Measurement Unit and described microcontroller PA0 end connects.
A kind of sensor circuit for gathering human motion signal the most according to claim 1, its feature exists The first amplifier, the second amplifier and wave filter is included in: described electromyographic signal circuit, described first It is connected with the first probe after VIN-end series connection the 30th capacitor of amplifier, described first amplifier It is connected with the second probe after VIN+ end series connection the 35th capacitor, the VOUT of described first amplifier End respectively with the REF end of described first amplifier, the IND+ end of described second amplifier and described the The OUTC end of two amplifiers connects, and the INB-end of described second amplifier amplifies with described second respectively The INA-end of device, the OUTA end of described second amplifier, the OUTB end of described second amplifier and 3rd probe connects, the INB+ end of described second amplifier respectively with the INC+ of described second amplifier End, the INC-end of described second amplifier, the OUTD end of described second amplifier, described micro-process The PB12 end of device and the IN end of described wave filter connect, the CLK end of described wave filter and described micro-place The PC14 end of reason device connects, and the SHDN end of described wave filter connects with the PC13 end of described microprocessor Connecing, the OUT terminal of described wave filter is connected with the PC15 end of described microprocessor.
A kind of sensor circuit for gathering human motion signal the most according to claim 1, its feature exists Move signaling module in: described flesh and include the first digital microphone and the second digital microphone, described first The LCK end of digital microphone respectively with the LCK end of described second digital microphone and described micro-process The PB13 end of device connects, and the DOUT end of described first digital microphone is digital with described second respectively The DOUT end of mike and the PB15 of described microprocessor connect.
A kind of sensor circuit for gathering human motion signal the most according to claim 1, its feature exists In: described bluetooth module includes Bluetooth chip, the RESET end of described Bluetooth chip and described micro-process The PA8 end of device connects, and the TXD end of described Bluetooth chip is connected with the PA10 end of described microprocessor, The RXD end of described Bluetooth chip is connected with the PA9 end of described microprocessor, described Bluetooth chip RTS end is connected with the PA11 end of described microprocessor, and the CTS end of described Bluetooth chip is micro-with described The PA12 end of processor connects, the LPO end of described Bluetooth chip and the PA14 end of described microprocessor Connect.
A kind of sensor circuit for gathering human motion signal the most according to claim 1, its feature exists In: connect on described microprocessor and have reset circuit, connected by connector between it, described micro-control The PA13 end of device processed connects with the 3rd end of described connector and the first end of the 4th two-phase diode respectively Connect, the second end of described 4th two-phase diode respectively with the 5th end, the 5th two-phase of described connector First end of the first end of diode and the 3rd two-phase diode connect after ground connection, the of described connector One end the second end with DC source and described 3rd two-phase diode respectively is connected, described microcontroller PA14 end respectively with the 3rd end of the second end of described 5th two-phase diode and described connector even Connect.
A kind of sensor circuit for gathering human motion signal the most according to claim 6, its feature exists The first reset chip, the second reset chip and reset switch is included in: described reset circuit, described The IN end of one reset chip respectively with the GND end of the first reset chip, described second reset chip First end of VCC end, the first end of reset switch and described connector connects, described reset switch Second end is connected with the IN end of described second reset chip, the EN end series connection of described first reset chip After second diode, the OUT terminal with described second reset chip is connected, described first reset chip OUT terminal is connected with DC source.
CN201520873823.5U 2015-11-02 2015-11-02 A sensor circuit for gathering human motion signal Expired - Fee Related CN205568954U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201520873823.5U CN205568954U (en) 2015-11-02 2015-11-02 A sensor circuit for gathering human motion signal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201520873823.5U CN205568954U (en) 2015-11-02 2015-11-02 A sensor circuit for gathering human motion signal

Publications (1)

Publication Number Publication Date
CN205568954U true CN205568954U (en) 2016-09-14

Family

ID=56882369

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201520873823.5U Expired - Fee Related CN205568954U (en) 2015-11-02 2015-11-02 A sensor circuit for gathering human motion signal

Country Status (1)

Country Link
CN (1) CN205568954U (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108742957A (en) * 2018-06-22 2018-11-06 上海交通大学 A kind of artificial limb control method of multi-sensor fusion

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108742957A (en) * 2018-06-22 2018-11-06 上海交通大学 A kind of artificial limb control method of multi-sensor fusion

Similar Documents

Publication Publication Date Title
CN105411594A (en) Novel sensor used for collecting human motion signals
CN205625934U (en) A new type sensor for gathering human motion signal
CN108939512B (en) Swimming posture measuring method based on wearable sensor
CN103997572B (en) A kind of step-recording method based on mobile phone acceleration sensor data and device
TWI459247B (en) System and method of motion trajectory reconstruction
CN208677399U (en) Intelligent switch joint angle measurement unit and system
CN108338791A (en) The detection device and detection method of unstable motion data
CN105180959B (en) A kind of anti-interference step-recording method suitable for wrist pedometer
CN109846487A (en) Thigh measuring method for athletic posture and device based on MIMU/sEMG fusion
CN110319840A (en) Conjugate gradient attitude algorithm method towards abnormal gait identification
CN108261197A (en) Upper limb healing evaluation system and method based on surface myoelectric and motion module
Zhang et al. Upper limb motion capturing and classification for unsupervised stroke rehabilitation
CN205568954U (en) A sensor circuit for gathering human motion signal
CN203829261U (en) Data collecting and processing system for upper limb rehabilitation robots
CN111895997B (en) Human body action acquisition method based on inertial sensor without standard posture correction
CN103340613A (en) Signal collecting and analyzing real-time interactive system and method based on wireless communication
CN107336233B (en) Inertial-kinetic-capture-based human-robot virtual-real interaction control system
Millor et al. Drift-free position estimation for periodic movements using inertial units
El-Gohary et al. Joint angle tracking with inertial sensors
CN106821378A (en) A kind of portable muscular fatigue degree testing equipment based on electronics epidermis
CN102579033B (en) Bioelectrical front-mounted amplifier driven by constant current source and control method for bioelectrical front-mounted amplifier
CN1771883A (en) Brain wave signal measuring system with mobile communication terminal
CN208591046U (en) The detection device of unstable motion data
Zhang et al. A fall detection study based on neural network algorithm using AHRS
CN109061215A (en) A kind of speed detection method and wearable device based on wearable device

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160914

Termination date: 20181102