CN103505219B - A kind of body gait evaluating system and method - Google Patents

A kind of body gait evaluating system and method Download PDF

Info

Publication number
CN103505219B
CN103505219B CN201210209092.5A CN201210209092A CN103505219B CN 103505219 B CN103505219 B CN 103505219B CN 201210209092 A CN201210209092 A CN 201210209092A CN 103505219 B CN103505219 B CN 103505219B
Authority
CN
China
Prior art keywords
gait
acceleration signal
information
evaluation
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.)
Active
Application number
CN201210209092.5A
Other languages
Chinese (zh)
Other versions
CN103505219A (en
Inventor
赵湛
轩运动
方震
杜利东
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.)
Institute of Electronics of CAS
Original Assignee
Institute of Electronics of CAS
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 Institute of Electronics of CAS filed Critical Institute of Electronics of CAS
Priority to CN201210209092.5A priority Critical patent/CN103505219B/en
Publication of CN103505219A publication Critical patent/CN103505219A/en
Application granted granted Critical
Publication of CN103505219B publication Critical patent/CN103505219B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention discloses a kind of body gait evaluating system and method, this system comprises: information acquisition module, wireless communication module and data analysis terminal.Information acquisition module is measured and process is double-legged and the three-dimensional acceleration signal of waist, and the signal after process is sent to data analysis terminal by wireless communication module; Data analysis terminal is analyzed the wireless signal uploaded, and the Tinetti evaluation and test table on integrative medicine provides evaluation result, and presents to user by human-computer interaction interface.The present invention also discloses a kind of method using described evaluating system to evaluate and test body gait.The present invention can not only monitoring human gait information, and can analyze body gait information and provide evaluation result, especially can carry out intelligentized assessment to Falls in Old People risk.The present invention can provide result in real time, intelligentized evaluation and test body gait information, conveniently assesses the fall risk of the special populations such as old man, and its structure is simple, with low cost, easy to operate.

Description

A kind of body gait evaluating system and method
Technical field
The present invention relates to wireless network data to merge and digital signal processing technique field, especially a kind of body gait evaluating system and method, for assessing the fall risk of old people.
Background technology
Foot characteristic information when body gait information is people's daily walking, generally includes initial gait, the length of paces and the feature such as height, the gait uniformity, gait seriality, walking distance, walking irrelevance.By analyzing these data, can evaluate and test body gait, disclosing the link of body gait exception, influence factor and the situation such as to fall is assessed.Traditional gait evaluating method is stood together by testee and tester, in hall walking, detects by an unaided eye to realize.This method influence factor is more, and intelligence degree is inadequate, and implements inconvenience.
Publication number is that the patent application of CN202086479 describes a kind of human gait analysis system, it gathers body gait feature by electronics step pad, and the body gait feature collected is converted into data signal, reflect body gait feature by the data signal of data analysis set-up analytical electron step pad.But it is not this system uses more complicated, portable, and the three-dimensional parameter of body gait can not be reflected, so function is limited.
Publication number is that the patent application of CN101694499 describes a kind of walking speed measurement of detecting based on pedestrian's gait and the system and method for transmission, this system is by two axle acceleration perception body gait acceleration informations, and therefrom extract gait feature, detect motion instantaneous velocity, average speed, displacement, movement time and mobile step number.The method only gives the limited parameter relevant to gait, length as initial gait information, paces cannot provide with height, the uniformity of gait, the seriality of gait, the irrelevance etc. of straight line moving, and these parameters are important parameters of gait evaluation and test.
Summary of the invention
In order to realize the evaluation and test of intelligentized gait, the invention provides a kind of body gait evaluating system and method, the present invention can not only monitoring human gait information, but also can analyze body gait information and provide evaluation result, can be used for carrying out gait evaluation to special population.The present invention is intelligent evaluation and test, goes out result and with low cost, simple to operate in real time.
According to an aspect of the present invention, propose a kind of body gait evaluating system, it is characterized in that, this system comprises: information acquisition module, wireless communication module and data analysis terminal, wherein,
Described information acquisition module is in order to measure and to process the three-dimensional acceleration signal of both feet and waist, received the instruction of described data analysis terminal transmission by described wireless communication module, and the three-dimensional acceleration signal after process is sent to described data analysis terminal by described wireless communication module;
Described data analysis terminal is used for carrying out data interaction with described information acquisition module and the three-dimensional acceleration signal after the wireless process of uploading of described information acquisition module being analyzed to the gait feature amount and gait information that obtain object to be evaluated, determine in Tinetti evaluation and test table on integrative medicine that whether the gait information of object to be evaluated is normal, and evaluation result is presented to user by human-computer interaction interface;
Described wireless communication module is in order to carry out the exchanges data between described signal acquisition module and described data analysis terminal;
Described information acquisition module is made up of three information collection node and date processing submodule, described three information collection node are separately fixed at by the both feet of evaluating object and waist, wherein, described information collection node is for measuring by the three-dimensional acceleration signal at evaluation and test position; Described date processing submodule is used for carrying out filtering, time-frequency conversion and Integral Processing to described three-dimensional acceleration signal.
According to a further aspect in the invention, the present invention also proposes a kind of method using the body gait evaluating system described in claim 1 to evaluate and test body gait, and it is characterized in that, the method comprises the following steps:
Step 1, before evaluating and testing body gait, is separately fixed at three information collection node by the both feet of evaluating object and waist with binder, ensures that these three information collection node can not be slided relative to fixed position in gait evaluation and test process;
Step 2, opens device power supply (DPS), allows by evaluating object normal stand a period of time, waits for and sends evaluation and test preparation instruction by data analysis terminal;
Step 3, described data analysis terminal sends evaluation and test preparation instruction, after described information acquisition module receives described evaluation and test preparation instruction, perform initialization operation, the original state of comformed information acquisition node, and initial state information is sent to data analysis terminal, described initial state information comprises: the initial output of the temporal information in current information acquisition module and acceleration signal;
Step 4, evaluation and test person sends evaluation and test sign on to by evaluating object afterwards comformed information acquisition node initial state information is errorless, by evaluating object after receiving evaluation and test sign on, start linearly to walk, information collection node receives the acquisition instructions that described data analysis terminal sends simultaneously, start to gather by the three-dimensional acceleration signal of evaluating object, the signal collected stores to described data analysis terminal by wireless communication module real-time Transmission after RC filtering and the process of date processing submodule;
Step 5, by evaluating object when straight line moving one segment distance, described data analysis terminal sends evaluation and test END instruction, after signals collecting node receives this instruction stop signal collection with upload, shutdown signal acquisition node power supply, unloads from by evaluating object by information collection node with it simultaneously;
Step 6, described data analysis terminal is to the gait feature amount and the gait information that are obtained object to be evaluated by the gait data analysis of evaluating object that receive in evaluation and test process, Tinetti evaluation and test table on integrative medicine determines that whether the gait information of object to be evaluated is normal, and is presented to evaluation result by evaluating object by the human-computer interaction interface of described data analysis terminal.
The invention has the beneficial effects as follows, can intelligentized evaluation and test body gait information, conveniently assess the fall risk of old man's special population of etc.ing, its structure is simply, with low cost, easy to operate.
Accompanying drawing explanation
Fig. 1 is the structural representation of body gait evaluating system of the present invention.
Fig. 2 is the flow chart of body gait evaluating method of the present invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with specific embodiment, and with reference to accompanying drawing, the present invention is described in more detail.
Fig. 1 is the structural representation of body gait evaluating system of the present invention, and as shown in Figure 1, body gait evaluating system of the present invention comprises: information acquisition module, wireless communication module and data analysis terminal.
Wherein, described information acquisition module is in order to measure and to process the three-dimensional acceleration signal of both feet and waist, received the instruction of described data analysis terminal transmission by described wireless communication module, and the three-dimensional acceleration signal after process is sent to described data analysis terminal by described wireless communication module;
Described information acquisition module is by three information collection node: isolated node 1, isolated node 2, isolated node 3, and date processing submodule composition, and described information collection node is for measuring by the three-dimensional acceleration signal at evaluation and test position; Described date processing submodule is used for carrying out filtering, time-frequency conversion and Integral Processing to described three-dimensional acceleration signal.Particularly, described three information collection node are separately fixed at by the both feet of evaluating object and waist, and each information collection node comprises three axis accelerometer and peripheral circuit thereof and radio receiving transmitting module; Wherein, described three axis accelerometer is for measuring by the three-dimensional acceleration signal at evaluation and test position; Described peripheral circuit comprises power-supplying circuit and hardware signal processing circuit, described power-supplying circuit is used for powering to three axis accelerometer, described hardware signal processing circuit is used for carrying out capacitance resistance RC filtering, with filtering noise wherein to the three-dimensional acceleration signal that three axis accelerometer measurement obtains.
Three-dimensional acceleration signal through RC filtering is sent to described date processing submodule by described three information collection node, described date processing submodule carries out the process such as filtering, time-frequency conversion, integration to the three-dimensional acceleration signal received, so that following described data analysis terminal can obtain being evaluated and tested position from the three-dimensional acceleration signal after process, the i.e. gait information at the position at information collection node place, and then the three-dimensional acceleration signal after process is sent it back corresponding information collection node;
Wherein, filtering is carried out to three-dimensional acceleration signal and mainly adopts low-pass filtering algorithm, the high-frequency noise interfering signal in elimination three-dimensional acceleration signal; Time domain acceleration signal through low-pass filtering is mainly become frequency-region signal by time-frequency conversion, obtains the frequency information of acceleration signal; Integral Processing mainly to the acceleration signal through low-pass filtering carry out once with quadratic integral computing, obtain being evaluated and tested the speed at position and displacement information, further, respectively quadratic integral computing is carried out in the horizontal and vertical directions to acceleration signal after filtering, object to be evaluated displacement in the horizontal and vertical directions can be drawn.Described low-pass filtering algorithm, time-frequency conversion algorithm and Integral Processing algorithm are all very common in the prior art, and therefore not to repeat here.
Described radio receiving transmitting module, for the three-dimensional acceleration signal returned after the process of described date processing submodule is sent to described data analysis terminal by described wireless communication module, and receive by described wireless communication module the feedback and control instruction that described data analysis terminal sends.
Described data analysis terminal is used for carrying out data interaction with described information acquisition module and the three-dimensional acceleration signal after the wireless process of uploading of described information acquisition module being analyzed to the gait feature amount and gait information that obtain object to be evaluated, the evaluation and test information such as whether bipod relative position in the Tinetti evaluation and test table on integrative medicine, paces are consistent, whether paces are even determine that whether the gait information of object to be evaluated is normal, and evaluation result is presented to user by human-computer interaction interface.
The gait feature amount that obtains object to be evaluated is analyzed to the three-dimensional acceleration signal after process and gait information comprises: the frequency information of the three-dimensional acceleration signal obtained through described time-frequency conversion according to three-dimensional acceleration signal obtains cadence and walking period, leg speed is obtained according to the signal of three-dimensional acceleration signal after a described Integral Processing, step-length, stride and step is obtained wide according to the signal of three-dimensional acceleration signal after described quadratic integral process, further, obtain step-length according to the signal of three-dimensional acceleration signal after the quadratic integral process in horizontal direction and walk wide, obtaining stride according to the signal of three-dimensional acceleration signal after the quadratic integral process in vertical direction, whether the initial gait information that can obtain object to be evaluated through simple mathematical operation from gait feature amount obtained above (such as hesitates, whether attempt just stepping the information such as step several times), length and the height (can be obtained by step-length and stride) of paces, the uniformity (can be obtained by cadence) of gait, the seriality (can be obtained by leg speed) of gait, the irrelevance (can obtain by step is wide) of straight line moving, the gait information such as walking distance (can be obtained by leg speed and walking period).
Described data analysis terminal is traditional PC, smart mobile phone or panel computer.
Described wireless communication module is in order to carry out the exchanges data between described signal acquisition module and described data analysis terminal, and described wireless communication module can be the cordless communication networks such as WLAN (Bluetooth, ZigBee etc.).
The invention also proposes a kind of method using described body gait evaluating system to evaluate and test body gait, the method comprises the following steps:
Step 1, before body gait is evaluated and tested, with binder, three information collection node are separately fixed on the position of three shown in Fig. 1, namely by the both feet of evaluating object and waist, ensure can not to slide in the position that these three information collection node are fixed relative to node in gait evaluation and test process;
Step 2, opens device power supply (DPS), allows by evaluating object normal stand a period of time, such as 30 seconds, waits for and sends evaluation and test preparation instruction by data analysis terminal;
Step 3, described data analysis terminal sends evaluation and test preparation instruction, after described information acquisition module receives described evaluation and test preparation instruction, performs initialization operation, the original state of comformed information acquisition node, and initial state information is sent to data analysis terminal;
Described initial state information comprises the initial output of temporal information in current information acquisition module and acceleration signal.
Step 4, evaluation and test person sends evaluation and test sign on to by evaluating object afterwards comformed information acquisition node initial state information is errorless, by evaluating object after receiving evaluation and test sign on, start linearly to walk, information collection node receives the acquisition instructions that described data analysis terminal sends simultaneously, start to gather by the three-dimensional acceleration signal of evaluating object, the signal collected stores to described data analysis terminal by wireless communication module real-time Transmission after the process of date processing submodule;
Described date processing submodule to the process of described three-dimensional acceleration signal for carry out filtering, time-frequency conversion and integration to described three-dimensional acceleration signal.
Wherein, filtering is carried out to three-dimensional acceleration signal and mainly adopts low-pass filtering algorithm, the high-frequency noise interfering signal in elimination three-dimensional acceleration signal; Time domain acceleration signal after filtering is mainly become frequency-region signal by time-frequency conversion, obtains the frequency information of acceleration signal; Integral Processing mainly to acceleration signal after filtering carry out once with quadratic integral computing, obtain speed and displacement information, further, respectively quadratic integral computing is carried out in the horizontal and vertical directions to acceleration signal after filtering, object to be evaluated displacement in the horizontal and vertical directions can be drawn.
Further, utilizing before date processing submodule processes three-dimensional acceleration signal, also comprising and RC filtering is carried out, with the step of filtering noise wherein to described three-dimensional acceleration signal.Step 5, by evaluating object when straight line moving one segment distance, such as 50 meters, described data analysis terminal sends evaluation and test END instruction, after signals collecting node receives this instruction stop signal collection with upload, shutdown signal acquisition node power supply, unloads from by evaluating object by information collection node with it simultaneously;
Step 6, described data analysis terminal is to the gait feature amount and the gait information that are obtained object to be evaluated by the gait data analysis of evaluating object that receive in evaluation and test process, Tinetti evaluation and test table on integrative medicine determines that whether the gait information of object to be evaluated is normal, and is presented to evaluation result by evaluating object by the human-computer interaction interface of described data analysis terminal.
The gait feature amount of object to be evaluated is obtained to described gait data analysis and gait information comprises: the frequency information of the three-dimensional acceleration signal obtained through described time-frequency conversion according to three-dimensional acceleration signal obtains cadence and walking period, leg speed is obtained according to the signal of three-dimensional acceleration signal after a described Integral Processing, step-length, stride and step is obtained wide according to the signal of three-dimensional acceleration signal after described quadratic integral process, further, obtain step-length according to the signal of three-dimensional acceleration signal after the quadratic integral process in horizontal direction and walk wide, obtaining stride according to the signal of three-dimensional acceleration signal after the quadratic integral process in vertical direction, whether the initial gait information that can obtain object to be evaluated through simple mathematical operation from gait feature amount obtained above (such as hesitates, whether attempt just stepping the information such as step several times), length and the height (can be obtained by step-length and stride) of paces, the uniformity (can be obtained by cadence) of gait, the seriality (can be obtained by leg speed) of gait, the irrelevance (can obtain by step is wide) of straight line moving, the gait information such as walking distance (can be obtained by leg speed and walking period).
Described Tinetti evaluation and test table comprises the evaluation and test information such as bipod relative position, whether paces are consistent, whether paces are even.
Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; be not limited to the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (9)

1. a body gait evaluating system, is characterized in that, this system comprises: information acquisition module, wireless communication module and data analysis terminal, wherein,
Described information acquisition module is in order to measure and to process the three-dimensional acceleration signal of both feet and waist, received the instruction of described data analysis terminal transmission by described wireless communication module, and the three-dimensional acceleration signal after process is sent to described data analysis terminal by described wireless communication module;
Described data analysis terminal is used for carrying out data interaction with described information acquisition module and the three-dimensional acceleration signal after the wireless process of uploading of described information acquisition module being analyzed to the gait feature amount and gait information that obtain object to be evaluated, determine in Tinetti evaluation and test table on integrative medicine that whether the gait information of object to be evaluated is normal, and evaluation result is presented to user by human-computer interaction interface;
Described wireless communication module is in order to carry out the exchanges data between described information acquisition module and described data analysis terminal;
Described information acquisition module is made up of three information collection node and date processing submodule, described three information collection node are separately fixed at by the both feet of evaluating object and waist, wherein, described information collection node is for measuring by the three-dimensional acceleration signal at evaluation and test position; Described date processing submodule is used for carrying out filtering, time-frequency conversion and Integral Processing to described three-dimensional acceleration signal; Each information collection node comprises three axis accelerometer and peripheral circuit thereof and radio receiving transmitting module; Wherein,
Described three axis accelerometer is for measuring by the three-dimensional acceleration signal at evaluation and test position;
Described peripheral circuit comprises power-supplying circuit and hardware signal processing circuit, described power-supplying circuit is used for powering to three axis accelerometer, and described hardware signal processing circuit is used for carrying out capacitance resistance RC filtering to the three-dimensional acceleration signal that three axis accelerometer measurement obtains;
Three-dimensional acceleration signal through RC filtering is sent to described date processing submodule by described information collection node, after described date processing submodule processes the three-dimensional acceleration signal received, then the three-dimensional acceleration signal after process is sent it back corresponding information collection node;
Described radio receiving transmitting module is used for the three-dimensional acceleration signal returned after the process of described date processing submodule to be sent to described data analysis terminal by described wireless communication module, and receives by described wireless communication module the feedback and control instruction that described data analysis terminal sends.
2. system according to claim 1, is characterized in that, the filtering that described date processing submodule carries out described three-dimensional acceleration signal, time-frequency conversion and Integral Processing are further:
Adopt low-pass filtering algorithm, the high-frequency noise interfering signal in elimination three-dimensional acceleration signal;
Time domain acceleration signal through low-pass filtering is become frequency-region signal, obtains the frequency information of acceleration signal;
Quadratic integral computing in an integral operation and level, vertical direction is carried out to acceleration signal after filtering, obtains by the displacement evaluated and tested in the speed at position and level, vertical direction.
3. system according to claim 2, is characterized in that, analyzes the gait feature amount that obtains object to be evaluated and gait information comprises further to the three-dimensional acceleration signal after described process:
Cadence and walking period is obtained according to the frequency information of described acceleration signal;
Leg speed is obtained according to the signal of three-dimensional acceleration signal after a described Integral Processing;
Obtain step-length according to the signal of three-dimensional acceleration signal after the quadratic integral process in horizontal direction and walk wide;
Stride is obtained according to the signal of three-dimensional acceleration signal after the quadratic integral process in vertical direction;
The gait information obtaining object to be evaluated is analyzed: length and height, the uniformity of gait, the seriality of gait, the irrelevance of straight line moving, the walking distance of initial gait information, paces from these gait feature amounts obtained.
4. system according to claim 1, is characterized in that, described Tinetti evaluation and test table comprises following evaluation and test information: whether bipod relative position, paces are consistent, whether paces are even.
5. system according to claim 1, is characterized in that, described data analysis terminal is traditional PC, smart mobile phone or panel computer; Described wireless communication module is cordless communication network.
6. use the method that the body gait evaluating system described in claim 1 is evaluated and tested body gait, it is characterized in that, the method comprises the following steps:
Step 1, before evaluating and testing body gait, is separately fixed at three information collection node by the both feet of evaluating object and waist with binder, ensures that these three information collection node can not be slided relative to fixed position in gait evaluation and test process;
Step 2, opens device power supply (DPS), allows by evaluating object normal stand a period of time, waits for and sends evaluation and test preparation instruction by data analysis terminal;
Step 3, described data analysis terminal sends evaluation and test preparation instruction, after described information acquisition module receives described evaluation and test preparation instruction, perform initialization operation, the original state of comformed information acquisition node, and initial state information is sent to data analysis terminal, described initial state information comprises: the initial output of the temporal information in current information acquisition module and acceleration signal;
Step 4, evaluation and test person sends evaluation and test sign on to by evaluating object afterwards comformed information acquisition node initial state information is errorless, by evaluating object after receiving evaluation and test sign on, start linearly to walk, information collection node receives the acquisition instructions that described data analysis terminal sends simultaneously, start to gather by the three-dimensional acceleration signal of evaluating object, the signal collected stores to described data analysis terminal by wireless communication module real-time Transmission after RC filtering and the process of date processing submodule;
Step 5, by evaluating object when straight line moving one segment distance, described data analysis terminal sends evaluation and test END instruction, after signals collecting node receives this instruction stop signal collection with upload, shutdown signal acquisition node power supply, unloads from by evaluating object by information collection node with it simultaneously;
Step 6, described data analysis terminal is to the gait feature amount and the gait information that are obtained object to be evaluated by the gait data analysis of evaluating object that receive in evaluation and test process, Tinetti evaluation and test table on integrative medicine determines that whether the gait information of object to be evaluated is normal, and is presented to evaluation result by evaluating object by the human-computer interaction interface of described data analysis terminal.
7. method according to claim 6, is characterized in that, described date processing submodule to the process of described three-dimensional acceleration signal for carry out filtering, time-frequency conversion and integration to described three-dimensional acceleration signal, wherein,
Describedly to be filtered into, to adopt low-pass filtering algorithm, the high-frequency noise interfering signal in elimination three-dimensional acceleration signal;
Described time-frequency conversion is, the time domain acceleration signal through low-pass filtering is become frequency-region signal, obtains the frequency information of acceleration signal;
Described integration is, carries out the quadratic integral computing in an integral operation and level, vertical direction to acceleration signal after filtering, obtains by the displacement evaluated and tested in the speed at position and level, vertical direction.
8. method according to claim 7, is characterized in that, in described step 6, obtains the gait feature amount of object to be evaluated and gait information comprises further to described gait data analysis:
Cadence and walking period is obtained according to the frequency information of described acceleration signal;
Leg speed is obtained according to the signal of three-dimensional acceleration signal after a described Integral Processing;
Obtain step-length according to the signal of three-dimensional acceleration signal after the quadratic integral process in horizontal direction and walk wide;
Stride is obtained according to the signal of three-dimensional acceleration signal after the quadratic integral process in vertical direction;
The gait information obtaining object to be evaluated is analyzed: length and height, the uniformity of gait, the seriality of gait, the irrelevance of straight line moving, the walking distance of initial gait information, paces from these gait feature amounts obtained.
9. method according to claim 6, is characterized in that, described Tinetti evaluation and test table comprises following evaluation and test information: whether bipod relative position, paces are consistent, whether paces are even.
CN201210209092.5A 2012-06-20 2012-06-20 A kind of body gait evaluating system and method Active CN103505219B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210209092.5A CN103505219B (en) 2012-06-20 2012-06-20 A kind of body gait evaluating system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210209092.5A CN103505219B (en) 2012-06-20 2012-06-20 A kind of body gait evaluating system and method

Publications (2)

Publication Number Publication Date
CN103505219A CN103505219A (en) 2014-01-15
CN103505219B true CN103505219B (en) 2015-08-26

Family

ID=49889036

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210209092.5A Active CN103505219B (en) 2012-06-20 2012-06-20 A kind of body gait evaluating system and method

Country Status (1)

Country Link
CN (1) CN103505219B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106344031A (en) * 2016-08-29 2017-01-25 常州市钱璟康复股份有限公司 Sound feedback-based gait training and estimating system

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10371528B2 (en) * 2014-07-03 2019-08-06 Texas Instruments Incorporated Pedestrian navigation devices and methods
CN104905794B (en) * 2015-05-12 2017-08-25 上海大学 A kind of pedestrian's cadence computing system and its method
TWI570659B (en) * 2015-11-09 2017-02-11 真茂科技股份有限公司 Smart health evaluation system and equipment
CN105816180B (en) * 2016-01-08 2018-11-13 施则威 Human body imbalance detection device and method, tumble-preventing device and method
CN105893966A (en) * 2016-04-04 2016-08-24 上海大学 Human body gait information collection and gait form classification and identification system and method
CN107506684B (en) * 2016-06-14 2022-03-01 中兴通讯股份有限公司 Gait recognition method and device
CN105910621A (en) * 2016-06-23 2016-08-31 紫光股份有限公司 Ankle step counter with distance measuring function
US11883183B2 (en) * 2016-10-07 2024-01-30 Panasonic Intellectual Property Management Co., Ltd. Cognitive function evaluation device, cognitive function evaluation method, and recording medium
CN108022248A (en) * 2016-11-03 2018-05-11 北京航空航天大学 A kind of lower limb gait rehabilitation assessment system of view-based access control model collecting device
CN106539587A (en) * 2016-12-08 2017-03-29 浙江大学 A kind of fall risk assessment and monitoring system and appraisal procedure based on sensor of doing more physical exercises
CN107616798B (en) * 2017-09-19 2020-06-19 北京工业大学 Gait asymmetry detection method based on gravity acceleration
CN108346469A (en) * 2018-01-15 2018-07-31 维沃移动通信有限公司 Method for determining human health status and mobile terminal
CN108606795B (en) * 2018-02-06 2021-07-20 武汉纺织大学 Human body action data management system
CN109036558B (en) * 2018-06-07 2021-01-01 北京航空航天大学 Health assessment system based on walking age
CN108837430A (en) * 2018-07-05 2018-11-20 郑州大学 A kind of multifunctional human balance evaluation and test training system
CN109316190B (en) * 2018-09-25 2022-03-01 快快利华(北京)网络科技有限公司 System and method for analyzing plantar pressure type of user
CN109620246B (en) * 2018-12-19 2021-08-17 福建师范大学 Gait mode evaluation method for rehabilitation period of unilateral achilles tendon fracture patient
CN109528203A (en) * 2019-01-21 2019-03-29 郑州大学 A kind of interactive patients with cerebral apoplexy gait training and evaluating system based on Multi-source Information Fusion
CN110558990B (en) * 2019-07-30 2022-04-12 福建省万物智联科技有限公司 Gait analysis method and device
CN110916673A (en) * 2019-11-18 2020-03-27 清华大学 Gait monitoring method and intelligent equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1541614A (en) * 2003-04-10 2004-11-03 ���µ�����ҵ��ʽ���� Physical movement analyzer and physical movement analyzing method
CN1933779A (en) * 2003-10-24 2007-03-21 仁爱米拉索莱有限公司 A motor function test system
WO2007062519A1 (en) * 2005-11-29 2007-06-07 Uti Limited Partnership Methods and apparatus for diagnosing disabilities in a patient
CN201691930U (en) * 2009-08-28 2011-01-05 张鑫 Human movement state monitoring device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1970005B1 (en) * 2007-03-15 2012-10-03 Xsens Holding B.V. A system and a method for motion tracking using a calibration unit

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1541614A (en) * 2003-04-10 2004-11-03 ���µ�����ҵ��ʽ���� Physical movement analyzer and physical movement analyzing method
CN1933779A (en) * 2003-10-24 2007-03-21 仁爱米拉索莱有限公司 A motor function test system
WO2007062519A1 (en) * 2005-11-29 2007-06-07 Uti Limited Partnership Methods and apparatus for diagnosing disabilities in a patient
CN201691930U (en) * 2009-08-28 2011-01-05 张鑫 Human movement state monitoring device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106344031A (en) * 2016-08-29 2017-01-25 常州市钱璟康复股份有限公司 Sound feedback-based gait training and estimating system

Also Published As

Publication number Publication date
CN103505219A (en) 2014-01-15

Similar Documents

Publication Publication Date Title
CN103505219B (en) A kind of body gait evaluating system and method
US20100148956A1 (en) System and method for remotely communicating with a sensor/actuator unit using a cellular gateway device
CN103598886B (en) Based on the method for dynamic urine volume in the long-pending urine process of model compensation method monitoring
CN102645261B (en) Wireless cloud weighing meter
CN103654798B (en) Method and device for monitoring and recording emotion
CN202205202U (en) Movement data management system based on Bluetooth pedometer
CN106491086A (en) A kind of portable multi-function skin measurement system
CN104622514A (en) System and method for testing ovulation on basis of double sensors
CN103957035A (en) Data acquisition and transmission device for sports equipment and sports data processing method
CN103604441A (en) System and method for measuring number of paces and mobile terminal
CN106768245A (en) A kind of fat scale intelligent Matching user method
CN204995454U (en) Health monitoring management system
CN203074683U (en) Portable physiological information acquiring and transmitting device
CN204121012U (en) A kind of health detecting system
CN205317332U (en) Personal weighing scale of measurable quantity height based on big data
CN110916673A (en) Gait monitoring method and intelligent equipment
CN108553103A (en) One kind having artificial intelligence Human fat balance
CN112294294A (en) Synchronous acquisition system for human body athletic performance evaluation data
KR20120091882A (en) Smartphone-based real-time ecg monitoring system for abnormal ecg signal detection
CN209644894U (en) Health analysis system
Azhar Muzafar et al. A study on LoRa SX1276 performance in IoT health monitoring
CN201658419U (en) Remote medical service system
CN206096849U (en) Intelligence body -building venue data acquisition system
CN202995735U (en) Intelligent measuring system
CN106548011B (en) Based on multi-modal mobile real time monitoring system for health and method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant