CN104298978A - Human body limb micro-motion recognition device based on multiple sensors - Google Patents
Human body limb micro-motion recognition device based on multiple sensors Download PDFInfo
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- CN104298978A CN104298978A CN201410600953.1A CN201410600953A CN104298978A CN 104298978 A CN104298978 A CN 104298978A CN 201410600953 A CN201410600953 A CN 201410600953A CN 104298978 A CN104298978 A CN 104298978A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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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
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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
- A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
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Abstract
The invention relates to a human body limb micro-motion recognition device, in particular to the human body limb micro-motion recognition device based on multiple sensors. The human body limb micro-motion recognition device solves the problems that existing recognition technology or device is poor in accuracy and cannot recognize quickly-changed limb micro-motion. The human body limb micro-motion recognition device comprises an STC89C52 main control chip, an integrated mpu6050 acceleration and gyroscope chip, an HMC2300 flux-weakening signal acquisition module and a CS5509AD conversion chip. The output end of the integrated mpu6050 acceleration and gyroscope chip is connected with the input end of the STC89C52 main control chip, the output end of the HMC2300 flux-weakening signal acquisition module is connected with the input end of the CS5509AD conversion chip, and the output end of the CS5509AD conversion chip is connected with the input end of the STC89C52 main control chip. The device can accurately measure certain signals sent by the human body to the external environment when the human body moves, and the state of the body at the moment can be accurately acquired through analysis of the signals.
Description
Technical field
The present invention relates to human body limb fine motion and make recognition device, recognition device is made in the human body limb fine motion be specially based on multisensor.
Background technology
China 60 years old and above population are 1.78 hundred million people, and 65 years old and above population are 1.19 hundred million people.In the care to the elderly, nursing, the clinical diagnosis of hospital patient, rehabilitation and other need the place of Sign Language Recognition to need the introducing of a large amount of new technology.Doing by measuring human body limb fine motion, studying the signals such as consequent magnetic field, acceleration, angular velocity, analyzing relevant information, the limbs information of people can be understood, be convenient to study the interpersonal communication except language.Human limb's action recognition technology has great using value and important Research Significance:
(1) medical treatment
Body language for long-term bed and handicapped patient quick and precisely identifies, is convenient to the communication between doctor, and this is even more important for the patient that is critically ill.
(2) exploitation of Novel man-machine interaction system
Limbs fine motion recognition system can, as the input equipment of machine, avoid long-term electromagnetic radiation to the injury of human body.
(3) deaf-mute's education
From the communication disorder eliminated between abled person and deaf-mute, deaf-mute is helped to participate in the Activities of society.
(4) crime expression research:
By the research to criminal's slight expression, understand the effect at heart of offender.
(5) judgement of human organ health status
The Different Organs of human body also exists a lot of Weak magentic-fields, and different organ magnetic field intensitys is different.Under normal circumstances, the magnetic field of muscle and organ is certain, but under strenuous exercise or when there is pathology, muscle and the magnetic field of organ can occur comparatively significantly to change.Various muscular movement situation and the organ health status of human body is analyzed by measuring human magnetic field.
As the Focal point and difficult point studied in field, the micro-action recognition of limbs due to its pace of change fast, amplitude is little, and complexity is high, causes very large difficulty to measurement.
At present kinds of schemes is existed to the identification of human action and attitude.In recent years, the infrared Three Dimensional Reconfiguration of limbs based on initiating structure light or stereography is subject to the attention of researcher, but the action message accuracy obtained by this technology is poor, and the fast-changing limbs fine motion of None-identified is done.
Summary of the invention
The present invention solves the problem that the poor and fast-changing limbs fine motion of None-identified of accuracy that existing recognition technology or device exist is done, and provides a kind of human body limb fine motion based on multisensor to make recognition device.
The present invention adopts following technical scheme to realize: recognition device is made in the human body limb fine motion based on multisensor, comprise STC89C52 main control chip, integrated mpu6050 acceleration and gyroscope chip, HMC2300 weak magnetic signal acquisition module, CS5509AD conversion chip; Integrated mpu6050 acceleration is connected with the input end of STC89C52 main control chip with the output terminal of gyroscope chip, the output terminal of HMC2300 weak magnetic signal acquisition module is connected with the input end of CS5509AD conversion chip, and the output terminal of CS5509AD conversion chip is connected with the input end of STC89C52 main control chip.The signal of HMC2300 weak magnetic signal acquisition module collection is simulating signal, need be changed into digital signal by AD conversion chip (CS5509).The data that acceleration and gyroscope (mpu6050) gather are digital signal.Finally the signal of two is input to STC89C52 main control chip, utilizes the data that special software integration analysis collects, thus analyze recognition result.
Carry out mainly through two approach for the research work of limb action recognition technology both at home and abroad, one is by adopting different data processing methods, improves and in conjunction with different algorithms, starts with from the angle of software; Two is by taking dissimilar sensor, optimizes sensing arrangement, seeking breakthrough from hardware.Device of the present invention belongs to the second situation.The software that device of the present invention relates to is existing mature technology, or perhaps those skilled in the art can easily realize according to existing this area achievement in research.
The Different Organs of human body also exists a lot of Weak magentic-fields, and different organ magnetic field intensitys is different.Under normal circumstances, the magnetic field of muscle and organ is certain, but under strenuous exercise or when there is pathology, muscle and the magnetic field of organ can occur comparatively significantly to change.The present invention measures by weak magnetic signal acquisition module various muscular movement situation and the organ health status that human magnetic field analyzes human body.When moving, can there is small deformation in muscle, utilizes acceleration transducer and gyroscope to tie up to be attached on the muscle wanting to measure, can collect corresponding data when muscle generation deformation.The magnetic signal that weak magnetic signal acquisition module collects, can be converted to more weak electric signal, greatly about hundreds of an about nV when exporting.General AD conversion chip is difficult to process it.The CS5509AD conversion chip that the present invention adopts, conversion figure place is up to 16.Effectively faint analog electrical signal can be converted to digital signal, accuracy rate is high.
The present invention adopts weak magnetic signal acquisition module, acceleration transducer and gyroscope to form multiaxis acquisition system, gathers required signal.Although there are the data collecting some these fields that some sensors can be rough in the market, but be difficult to because its measuring accuracy is poor the identification realizing pin-point accuracy, so the present invention aims to provide high precision collecting based on multiclass sensor and recognition system.
Device of the present invention can measure human body accurately when moving, some signal that human body outwardly sends, by just can draw the state that health is now residing accurately to the analysis of these signals.This research also has deaf-mute child to build a bridge with extraneous exchanging to the old man that the age is bigger than normal, also can have very important significance in addition on robot research.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Embodiment
Recognition device is made in human body limb fine motion based on multisensor, comprises STC89C52 main control chip, integrated mpu6050 acceleration and gyroscope chip, HMC2300 weak magnetic signal acquisition module, CS5509AD conversion chip; Integrated mpu6050 acceleration is connected with the input end of STC89C52 main control chip with the output terminal of gyroscope chip, the output terminal of HMC2300 weak magnetic signal acquisition module is connected with the input end of CS5509AD conversion chip, and the output terminal of CS5509AD conversion chip is connected with the input end of STC89C52 main control chip.The signal of HMC2300 weak magnetic signal acquisition module collection is simulating signal, need be changed into digital signal by AD conversion chip (CS5509).The data that acceleration and gyroscope (mpu6050) gather are digital signal.Finally the signal of two is input to STC89C52 main control chip, utilizes the data that special software integration analysis collects, thus analyze recognition result.
Claims (1)
1. a recognition device is made in the human body limb fine motion based on multisensor, it is characterized in that comprising STC89C52 main control chip, integrated mpu6050 acceleration and gyroscope chip, HMC2300 weak magnetic signal acquisition module, CS5509AD conversion chip; Integrated mpu6050 acceleration is connected with the input end of STC89C52 main control chip with the output terminal of gyroscope chip, the output terminal of HMC2300 weak magnetic signal acquisition module is connected with the input end of CS5509AD conversion chip, and the output terminal of CS5509AD conversion chip is connected with the input end of STC89C52 main control chip.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410600953.1A CN104298978A (en) | 2014-11-01 | 2014-11-01 | Human body limb micro-motion recognition device based on multiple sensors |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410600953.1A CN104298978A (en) | 2014-11-01 | 2014-11-01 | Human body limb micro-motion recognition device based on multiple sensors |
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| CN104298978A true CN104298978A (en) | 2015-01-21 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106376482A (en) * | 2016-08-29 | 2017-02-08 | 深圳市沃特沃德股份有限公司 | Animal micro-action determining method, apparatus and micro-action indicating device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101836909A (en) * | 2010-04-23 | 2010-09-22 | 上海科生假肢有限公司 | Multipath control signal source for multi-freedom upper artificial limb and related control method and device |
| EP2653096A2 (en) * | 2012-04-19 | 2013-10-23 | Tanita Corporation | Biological signal processor |
| CN103399628A (en) * | 2013-05-13 | 2013-11-20 | 重庆大学 | Human-computer interaction game system |
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2014
- 2014-11-01 CN CN201410600953.1A patent/CN104298978A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101836909A (en) * | 2010-04-23 | 2010-09-22 | 上海科生假肢有限公司 | Multipath control signal source for multi-freedom upper artificial limb and related control method and device |
| EP2653096A2 (en) * | 2012-04-19 | 2013-10-23 | Tanita Corporation | Biological signal processor |
| CN103399628A (en) * | 2013-05-13 | 2013-11-20 | 重庆大学 | Human-computer interaction game system |
Non-Patent Citations (2)
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| 吴超: "基于加速度传感器的人体姿态识别系统", 《长江大学学报（自科版）》 * |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106376482A (en) * | 2016-08-29 | 2017-02-08 | 深圳市沃特沃德股份有限公司 | Animal micro-action determining method, apparatus and micro-action indicating device |
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Application publication date: 20150121 |