CN107990892A - A kind of method high using bluetooth and sensor detection symmetry and step - Google Patents
A kind of method high using bluetooth and sensor detection symmetry and step Download PDFInfo
- Publication number
- CN107990892A CN107990892A CN201711181874.1A CN201711181874A CN107990892A CN 107990892 A CN107990892 A CN 107990892A CN 201711181874 A CN201711181874 A CN 201711181874A CN 107990892 A CN107990892 A CN 107990892A
- Authority
- CN
- China
- Prior art keywords
- diaphragm
- left foot
- right crus
- mrow
- acceleration
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
- G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
- G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
Abstract
The invention discloses a kind of method high using bluetooth and sensor detection symmetry and step, comprise the following steps:Vola acceleration in wearable device collection walking process;The data sending collected is given the intelligent terminal of wearable device binding by wearable device;Intelligent terminal reads data, and according to acceleration change, calculates the swing phase of left foot and right crus of diaphragm in real time;It is high that symmetry, left foot step height and right crus of diaphragm step are calculated according to the swing phase of left foot and right crus of diaphragm.The present invention gathers the acceleration information at walking process mesopodium bottom by the MEMS sensor installed in shoes bottom, processor reads the acceleration information that MEMS sensor collects, it is sent to bluetooth module, bluetooth module sends the data to intelligent terminal, intelligent terminal reads data, and carries out integration operation to judge that symmetry and step are high.Method is simple and convenient to operate, easy to detect, and reduces cost.
Description
Technical field
The present invention relates to gait analysis technical field, and in particular to one kind is based on MEMS sensor collection walking process mesopodium
The acceleration information at bottom, intelligent terminal is sent to by bluetooth, is finally calculated symmetry by intelligent terminal and is walked high method.
Background technology
Gait analysis is the research to mankind's walking movement, for the assessment to individual walks ability, plan, treatment.
It is usually used in sport biomechanics to help the more efficient running of sportsman and confirm that the wounded are that posture is related or movement is related
Medical problem etc..
The methods of current existing gait analysis system is based primarily upon vision, myoelectricity is analyzed.It is complicated, of high cost,
Be inconvenient to detect.With the continuous renewal of MEMS (MEMS) sensor, make to gather vola acceleration by MEMS sensor
Degrees of data, which carries out gait analysis, becomes possibility.
The content of the invention
It is an object of the invention in view of the above shortcomings of the prior art, there is provided a kind of by gathering the foot in walking process
Bottom acceleration information carries out integral operation, to judge symmetry and walk high method.
To solve the above problems, the technical solution used in the present invention is:
A kind of method high using bluetooth and sensor detection symmetry and step, comprises the following steps:
Step 1:Vola acceleration in wearable device collection walking process;
Step 2:The data sending collected is given the intelligence of wearable device binding eventually by wearable device
End;
Step 3:Intelligent terminal reads data, and according to acceleration change, calculates the swing of left foot and right crus of diaphragm in real time
Phase;
Step 4:It is high that symmetry, left foot step height and right crus of diaphragm step are calculated according to the swing phase of left foot and right crus of diaphragm.
Further, the swing phase computational methods of left foot are in step 3:
XL=T2-T1
T1It is corresponding time, T when left foot acceleration increases by zero2It is that left foot acceleration corresponds to when reducing vanishing
Time, XL is left foot swing phase;
The swing phase computational methods of right crus of diaphragm are:
XR=T4-T3
T3It is corresponding time, T when right crus of diaphragm acceleration increases by zero4It is that right crus of diaphragm acceleration corresponds to when reducing vanishing
Time, XR is right crus of diaphragm swing phase.
Further, the method for calculating symmetry is in step 4:
Calculate symmetry coefficient S I
SI=| XL-XR |/0.5 (XL+XR) 100%
XL is left foot swing phase, and XR is right crus of diaphragm swing phase, and SI is bigger to represent that symmetry is poorer, and SI=0 represents full symmetric,
SI represents completely asymmetric for 100%.
Further, the high method of left foot step is calculated in step 4 is:
When left foot swing phase starts, start to integrate according to the z-axis acceleration of left foot;
At the end of left foot swing phase, integration terminates, and the maximum integrated during this is high for left foot step;
T1Be when left foot swing phase starts the corresponding time be also the corresponding time when left foot acceleration increases by zero,
T2Be at the end of left foot swing phase the corresponding time be also the corresponding time when left foot acceleration reduces vanishing, AccZ is z-axis
Acceleration, SL are high for left foot step.
Further, the high method of right crus of diaphragm step is calculated in step 4 is:
When right crus of diaphragm swing phase starts, start to integrate according to the z-axis acceleration of right crus of diaphragm;
At the end of right crus of diaphragm swing phase, integration terminates, and the maximum integrated during this is high for right crus of diaphragm step;
T3Be when right crus of diaphragm swing phase starts the corresponding time be also the corresponding time when right crus of diaphragm acceleration increases by zero,
T4Be at the end of right crus of diaphragm swing phase the corresponding time be also the corresponding time when right crus of diaphragm acceleration reduces vanishing, AccZ is z-axis
Acceleration, SR are high for right crus of diaphragm step.
Further, the wearable device includes MEMS sensor, processor and bluetooth module;
The MEMS sensor, for gathering the vola acceleration in walking process;
The processor, the vola acceleration in the walking process collected for reading MEMS sensor, and be sent to
Bluetooth module;
The bluetooth module, for sending data to intelligent terminal.
Further, the MEMS sensor is 3-axis acceleration sensor.
Further, the intelligent terminal is one kind in mobile terminal, desktop computer.
It is using beneficial effect caused by above-mentioned technical proposal:The present invention passes through the MEMS biographies installed in shoes bottom
The acceleration information at sensor collection walking process mesopodium bottom, processor read the acceleration information that MEMS sensor collects, hair
Bluetooth module is given, bluetooth module sends the data to intelligent terminal, and intelligent terminal reads data, and carries out integration operation to sentence
Disconnected symmetry and step are high.Method is simple and convenient to operate, easy to detect, and reduces cost.
Brief description of the drawings
Fig. 1 is the system block diagram of the present invention;
Fig. 2 is the flow diagram of the present invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
As shown in Figure 1, a kind of system high using bluetooth and sensor detection symmetry and step, including wearable device
With the intelligent terminal bound with the wearable device.
The wearable device includes MEMS sensor, processor and bluetooth module.
The MEMS sensor, for gathering the vola acceleration in walking process.
The processor, the vola acceleration in the walking process collected for reading MEMS sensor, and be sent to
Bluetooth module.
The bluetooth module, for sending data to intelligent terminal.
The MEMS sensor is 3-axis acceleration sensor, and the z-axis of 3-axis acceleration sensor is overlapped with vertical direction.
The intelligent terminal is mobile terminal, one kind in desktop computer, for reading the vola acceleration received, and
According to acceleration change, the swing phase time of left foot and right crus of diaphragm is calculated in real time;Counted according to the swing phase time of left foot and right crus of diaphragm
It is high to calculate symmetry, left foot step height and right crus of diaphragm step.
As shown in Fig. 2, a kind of method high using bluetooth and sensor detection symmetry and step, comprises the following steps:
Step 1:Vola acceleration in the MEMS sensor collection walking process of wearable device;
Step 2:The vola that the processor of wearable device is read in the walking process that MEMS sensor collects accelerates
Degree, and bluetooth module is sent to, the data sending received is given the intelligence of wearable device binding eventually by bluetooth module
End;
Step 3:Intelligent terminal reads data, and according to acceleration change, calculates the swing of left foot and right crus of diaphragm in real time
Phase;The swing phase computational methods of left foot are:
XL=T2-T1
T1To be that left foot acceleration increases corresponding time, T by zero2It is that left foot acceleration corresponds to when reducing vanishing
Time, XL is left foot swing phase;
The swing phase computational methods of right crus of diaphragm are:
XR=T4-T3
T3It is that right crus of diaphragm acceleration increases corresponding time, T by zero4It is corresponding when being the reduction vanishing of right crus of diaphragm acceleration
Time, XR are right crus of diaphragm swing phase.
Step 4:It is high that symmetry, left foot step height and right crus of diaphragm step are calculated according to the swing phase of left foot and right crus of diaphragm;
Calculate symmetry:
Calculate symmetry coefficient S I
SI=| XL-XR |/0.5 (XL+XR) 100%
XL is left foot swing phase, and XR is right crus of diaphragm swing phase, and SI is bigger to represent that symmetry is poorer, and SI=0 represents full symmetric,
SI represents completely asymmetric for 100%.
It is high to calculate left foot step:
When left foot swing phase starts, start to integrate according to the z-axis acceleration of left foot, z-axis acceleration adds for vertical direction
Speed;
At the end of left foot swing phase, integration terminates, and the maximum integrated during this is high for left foot step;
T1Be when left foot swing phase starts the corresponding time be also the corresponding time when left foot acceleration increases by zero,
T2Be at the end of left foot swing phase the corresponding time be also the corresponding time when left foot acceleration reduces vanishing, AccZ is z-axis
Acceleration, SL are high for left foot step.
It is high to calculate right crus of diaphragm step:
When right crus of diaphragm swing phase starts, start to integrate according to the z-axis acceleration of right crus of diaphragm, z-axis acceleration adds for vertical direction
Speed;
At the end of right crus of diaphragm swing phase, integration terminates, and the maximum integrated during this is high for right crus of diaphragm step;
T3Be when right crus of diaphragm swing phase starts the corresponding time be also the corresponding time when right crus of diaphragm acceleration increases by zero,
T4Be at the end of right crus of diaphragm swing phase the corresponding time be also the corresponding time when right crus of diaphragm acceleration reduces vanishing, AccZ is z-axis
Acceleration, SR are high for right crus of diaphragm step.
Although reference be made herein to invention has been described for multiple explanatory embodiments of the invention, however, it is to be understood that
Those skilled in the art can be designed that a lot of other modifications and embodiment, these modifications and embodiment will fall in this Shen
Please be within disclosed spirit and spirit.More specifically, can in the range of disclosure, drawings and claims
A variety of variations and modifications are carried out with the building block to theme combination layout and/or layout.Except to building block and/or layout
Outside the modification and improvement of progress, to those skilled in the art, other purposes also will be apparent.
Claims (8)
- A kind of 1. method high using bluetooth and sensor detection symmetry and step, it is characterised in that comprise the following steps:Step 1:Vola acceleration in wearable device collection walking process;Step 2:The data sending collected is given the intelligent terminal of wearable device binding by wearable device;Step 3:Intelligent terminal reads data, and according to acceleration change, calculates the swing phase of left foot and right crus of diaphragm in real time;Step 4:It is high that symmetry, left foot step height and right crus of diaphragm step are calculated according to the swing phase of left foot and right crus of diaphragm.
- 2. a kind of method high using bluetooth and sensor detection symmetry and step according to claim 1, its feature exist In the swing phase computational methods of left foot are in step 3:XL=T2-T1T1It is corresponding time, T when left foot acceleration increases by zero2When being that left foot acceleration reduces corresponding during vanishing Between, XL is left foot swing phase;The swing phase computational methods of right crus of diaphragm are:XR=T4-T3T3It is corresponding time, T when right crus of diaphragm acceleration increases by zero4When being that right crus of diaphragm acceleration reduces corresponding during vanishing Between, XR is right crus of diaphragm swing phase.
- 3. a kind of method high using bluetooth and sensor detection symmetry and step according to claim 2, its feature exist In:The method of calculating symmetry is in step 4:Calculate symmetry coefficient S ISI=| XL-XR |/0.5 (XL+XR) 100%XL is left foot swing phase, and XR is right crus of diaphragm swing phase, and SI is bigger to represent that symmetry is poorer, and SI=0 represents full symmetric, and SI is 100% represents completely asymmetric.
- 4. a kind of method high using bluetooth and sensor detection symmetry and step according to Claims 2 or 3, its feature It is:The high method of left foot step is calculated in step 4 is:When left foot swing phase starts, start to integrate according to the z-axis acceleration of left foot;At the end of left foot swing phase, integration terminates, and the maximum integrated during this is high for left foot step;<mrow> <mi>S</mi> <mi>L</mi> <mo>=</mo> <msubsup> <mo>&Integral;</mo> <mrow> <mi>T</mi> <mn>2</mn> </mrow> <mrow> <mi>T</mi> <mn>1</mn> </mrow> </msubsup> <msubsup> <mo>&Integral;</mo> <mrow> <mi>T</mi> <mn>2</mn> </mrow> <mrow> <mi>T</mi> <mn>1</mn> </mrow> </msubsup> <msub> <mi>AccZdt</mi> <mn>1</mn> </msub> <msub> <mi>dt</mi> <mn>2</mn> </msub> </mrow>T1Be when left foot swing phase starts the corresponding time be also corresponding time, T when left foot acceleration increases by zero2It is The corresponding time is also the corresponding time when left foot acceleration reduces vanishing at the end of left foot swing phase, and AccZ is z-axis acceleration Degree, SL are high for left foot step.
- 5. a kind of method high using bluetooth and sensor detection symmetry and step according to Claims 2 or 3, its feature It is:The high method of right crus of diaphragm step is calculated in step 4 is:When right crus of diaphragm swing phase starts, start to integrate according to the z-axis acceleration of right crus of diaphragm;At the end of right crus of diaphragm swing phase, integration terminates, and the maximum integrated during this is high for right crus of diaphragm step;<mrow> <mi>S</mi> <mi>R</mi> <mo>=</mo> <msubsup> <mo>&Integral;</mo> <mrow> <mi>T</mi> <mn>4</mn> </mrow> <mrow> <mi>T</mi> <mn>3</mn> </mrow> </msubsup> <msubsup> <mo>&Integral;</mo> <mrow> <mi>T</mi> <mn>4</mn> </mrow> <mrow> <mi>T</mi> <mn>3</mn> </mrow> </msubsup> <msub> <mi>AccZdt</mi> <mn>3</mn> </msub> <msub> <mi>dt</mi> <mn>4</mn> </msub> </mrow>T3Be when right crus of diaphragm swing phase starts the corresponding time be also corresponding time, T when right crus of diaphragm acceleration increases by zero4It is The corresponding time is also the corresponding time when right crus of diaphragm acceleration reduces vanishing at the end of right crus of diaphragm swing phase, and AccZ is z-axis acceleration Degree, SR are high for right crus of diaphragm step.
- 6. a kind of method high using bluetooth and sensor detection symmetry and step according to claim 1, its feature exist In:The wearable device includes MEMS sensor, processor and bluetooth module;The MEMS sensor, for gathering the vola acceleration in walking process;The processor, the vola acceleration in the walking process collected for reading MEMS sensor, and it is sent to bluetooth Module;The bluetooth module, for sending data to intelligent terminal.
- 7. a kind of method high using bluetooth and sensor detection symmetry and step according to claim 6, its feature exist In:The MEMS sensor is 3-axis acceleration sensor.
- 8. a kind of method high using bluetooth and sensor detection symmetry and step according to claim 1, its feature exist In:The intelligent terminal is mobile terminal, one kind in desktop computer.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711181874.1A CN107990892A (en) | 2017-11-23 | 2017-11-23 | A kind of method high using bluetooth and sensor detection symmetry and step |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711181874.1A CN107990892A (en) | 2017-11-23 | 2017-11-23 | A kind of method high using bluetooth and sensor detection symmetry and step |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107990892A true CN107990892A (en) | 2018-05-04 |
Family
ID=62032615
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711181874.1A Pending CN107990892A (en) | 2017-11-23 | 2017-11-23 | A kind of method high using bluetooth and sensor detection symmetry and step |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107990892A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111803885A (en) * | 2020-07-11 | 2020-10-23 | 郭坤 | Intelligent exercise method based on international standard dance |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102824177A (en) * | 2012-07-25 | 2012-12-19 | 王哲龙 | Three-dimensional human body gait quantitative analysis system and method |
CN106333692A (en) * | 2016-11-15 | 2017-01-18 | 上海市共进通信技术有限公司 | The leg or foot wearing device and method for detecting human gait cycle and step length |
CN106805980A (en) * | 2017-01-24 | 2017-06-09 | 重庆小爱科技有限公司 | A kind of gait analysis system and analysis method |
-
2017
- 2017-11-23 CN CN201711181874.1A patent/CN107990892A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102824177A (en) * | 2012-07-25 | 2012-12-19 | 王哲龙 | Three-dimensional human body gait quantitative analysis system and method |
CN106333692A (en) * | 2016-11-15 | 2017-01-18 | 上海市共进通信技术有限公司 | The leg or foot wearing device and method for detecting human gait cycle and step length |
CN106805980A (en) * | 2017-01-24 | 2017-06-09 | 重庆小爱科技有限公司 | A kind of gait analysis system and analysis method |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111803885A (en) * | 2020-07-11 | 2020-10-23 | 郭坤 | Intelligent exercise method based on international standard dance |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103961109B (en) | Based on the human body attitude checkout gear of acceleration signal and angular velocity signal | |
CN108831527B (en) | User motion state detection method and device and wearable device | |
US9826806B2 (en) | Assistive support systems and devices for automatic feedback | |
CN106887115B (en) | A kind of Falls Among Old People monitoring device and fall risk appraisal procedure | |
US7826983B2 (en) | Instrumented mobility assistance device | |
AU2017261203B2 (en) | Instrumented orthotic | |
US11497966B2 (en) | Automatic coaching system and method for coaching user's exercise | |
CN108348813A (en) | System and method for using wearable activity monitor to carry out running tracking | |
CN105561567A (en) | Step counting and motion state evaluation device | |
JP2019531772A (en) | Motion recognition method and apparatus | |
CN109480857B (en) | Device and method for detecting frozen gait of Parkinson disease patient | |
CN108257352B (en) | Fall detection and early warning method based on intelligent wearable equipment | |
US20210393166A1 (en) | Monitoring user health using gait analysis | |
CN107536613A (en) | Robot and its human body lower limbs Gait Recognition apparatus and method | |
CN105303183A (en) | Children's attitude identification and analysis system and method based on wearable equipment | |
CN107506781A (en) | A kind of Human bodys' response method based on BP neural network | |
Kuntapun et al. | Smartphone monitoring of gait and balance during irregular surface walking and obstacle crossing | |
CN107990892A (en) | A kind of method high using bluetooth and sensor detection symmetry and step | |
Fu et al. | Capturing and analyzing wheelchair maneuvering patterns with mobile cloud computing | |
CN103632133B (en) | Human gesture recognition method | |
CN107239147A (en) | A kind of human body context aware method based on wearable device, apparatus and system | |
JP2021504026A5 (en) | ||
SG10201800971RA (en) | Method and system for motor function rehabilitation and monitoring a patient’s recovery | |
CN205126247U (en) | Intelligence shoe -pad with gait analysis function | |
CN106373338A (en) | Tumbling monitoring method and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20210615 Address after: No.89 Jiangnan Road, Loudong street, Taicang City, Suzhou City, Jiangsu Province Applicant after: TAICANG T&W ELECTRONICS Co.,Ltd. Address before: 200000 rooms 301, 302, 303, 304, 401, 402, 403, 404, 3 / F, No.2 Lane 187, Xinghong Road, Minhang District, Shanghai Applicant before: SHANGHAI GONGJIN MEDICAL TECHNOLOGY Co.,Ltd. |
|
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180504 |