CN103462619A - Plantar pressure measuring device and gait mode identification method using same - Google Patents
Plantar pressure measuring device and gait mode identification method using same Download PDFInfo
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- CN103462619A CN103462619A CN2013104617913A CN201310461791A CN103462619A CN 103462619 A CN103462619 A CN 103462619A CN 2013104617913 A CN2013104617913 A CN 2013104617913A CN 201310461791 A CN201310461791 A CN 201310461791A CN 103462619 A CN103462619 A CN 103462619A
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Abstract
The invention discloses a plantar pressure measuring device and a gait mode identification method using the same, and relates to a pressure measuring device. The plantar pressure measuring device comprises a left foot insole, a right foot insole, a signal processing circuit, a data acquisition circuit and a computer, wherein four pressure sensors are arranged on each of the left foot insole and the right foot insole; the four pressure sensors on the left foot insole and the four pressure sensors on the right foot insole are symmetrically arranged; the mounting positions of the four pressure sensors on each insole are that one pressure sensor is mounted at the heel part of the insole, two pressure sensors are mounted at the sole of the insole, and one pressure sensor is mounted at the toe part of the insole; the signal output end of each pressure sensor is connected with the input end of the signal processing circuit; the output end of the signal processing circuit is connected with the input end of the data acquisition circuit; the output end of the data acquisition circuit is connected with the computer. The gait mode identification method using the plantar pressure measuring device comprises the steps of data collection and data processing and mode identification. The plantar pressure measuring device and the gait mode identification method using the plantar pressure measuring device have the advantages that the structure is simple, the stability is good, and the sensitivity and the accuracy rate are high.
Description
Technical field
The present invention relates to a kind of pressure gauge, a kind of method that especially relates to plantar pressure measuring device and identify for gait pattern.
Background technology
The Human Sole pressure distribution has reflected the situations such as relevant sufficient structure, function and whole body posture control, and when human foot produces pathological changes or human motion state change, the distribution of plantar pressure and pressure all can correspondingly change.Pressure and time parameter thereof between (as stand or walk) vola each point and ground under the different motion state measured, and measurement result is analyzed, can obtain physiology, pathomechanics parameter and the function parameter of human body under various figures and kinestate, disclose different foot pressure and pattern, all significant to clinical diagnose, illness level determinations, postoperative curative effect evaluation, biomechanics and rehabilitation research.But, in prior art, the plantar pressure system and device measured that distributes is existed to more defect, as volume is large, stability, sensitivity is lower etc., is not suitable for gait pattern identification.
Summary of the invention
The purpose of this invention is to provide a kind of plantar pressure measuring device that simple in structure, good stability, sensitivity and accuracy rate are high and for the method for gait pattern identification.
Described plantar pressure measuring device, comprise left foot shoe pad and right insole, and signal conditioning circuit, data acquisition circuit and computer;
Described left foot shoe pad and right insole are equipped with 4 pressure transducers, and 4 pressure transducers of left foot shoe pad and 4 pressure transducers of right insole are symmetrical arranged; The installation site of 4 pressure transducers is: the heel of shoe pad is installed 1, and the vola place of shoe pad installs 2, and the toe place of shoe pad installs 1; The signal output part of each pressure transducer connects the input of signal conditioning circuit, the input of the output termination data acquisition circuit of signal conditioning circuit, the output termination computer of data acquisition circuit.
Described pressure transducer can adopt the FSR pressure transducer.
Described signal conditioning circuit can comprise amplifying circuit and filter circuit.
Described data acquisition circuit can adopt the DAQ data collecting card.
The described method for gait pattern identification, adopt described plantar pressure measuring device, comprises the following steps:
1) image data: left foot shoe pad and right insole are put into respectively to left shoe and the right shoe of wearing for the tested person, allowing the tested person carry out each corresponding pressure sensor data by 5 kinds of gait pattern successively detects, described 5 kinds of gait pattern are followed successively by order: the first, allow the tested person walk at level road, gather level road walking data; The second, allow the tested person on the slope by the walking of going up a slope, and gathers the walking data of going up a slope; The third, allow the tested person on the slope by the descending walking, gathers descending walking data; The 4th kind, allow the tested person on stair by the walking of going upstairs, gather the walking data of going upstairs; The 5th kind, allow the tested person on stair by the walking of going downstairs, gather the walking data of going downstairs;
2) date processing and pattern recognition: the detection data under 5 kinds of gait pattern of step 1) gained and the normal data that is stored in advance 5 kinds of gait pattern in computer are contrasted, and carry out date processing by computer, date processing adopts Matlab software, obtain tested person's gait motion rule, again by being stored in advance KNN method and the decision tree method computing in computer, can obtain embodying the characteristic of tested person's gait pattern, thereby realize identification tested person's gait pattern.
Compared with the prior art, the present invention has following outstanding advantages:
1, described plantar pressure measuring device structure is very simple, and cost is low and use very conveniently, is easy to carry about with one.
2, described plantar pressure measuring device is for the method for gait pattern identification, easy and simple to handle, on algorithm, adopts KNN method and decision tree method to carry out the identification of gait pattern, has very high precision, and precision reaches as high as 100%.
3, described plantar pressure measuring device directly is placed on sensor in shoe pad, on the relevant position that need to measure corresponding to vola, and accurate positioning, the stress response speed, dynamic measurement precision is higher, and sensor adopts the FSR pressure transducer, easily design, simple in structure.
The accompanying drawing explanation
The structure that Fig. 1 is plantar pressure measuring device embodiment of the present invention forms schematic block diagram.
Fig. 2 is the sensor circuit figure in plantar pressure measuring device embodiment of the present invention.
The specific embodiment
The present invention is further illustrated in connection with accompanying drawing for following examples.
Referring to Fig. 1, the described plantar pressure measuring device of the present embodiment, be provided with left foot shoe pad 11 and right insole 12, and signal conditioning circuit 2, data acquisition circuit 3 and computer 4.Described left foot shoe pad 11 and right insole 12 are equipped with 4 pressure transducers 13, each pressure transducer 13 of left foot shoe pad 11 and right insole 12 is symmetrical arranged, the installation site of pressure transducer 13 is: the heel of shoe pad is installed 1, the vola place of shoe pad installs 2, and the toe place of shoe pad installs 1; The signal output part of each pressure transducer 13 connects the input of signal conditioning circuit 2, the input of the output termination data acquisition circuit 3 of signal conditioning circuit 2, the output termination computer 4 of data acquisition circuit 3.
Described pressure transducer 13 adopts the FSR pressure transducer.
Described signal conditioning circuit 2 comprises amplifying circuit and filter circuit.
Described data acquisition circuit 3 adopts the DAQ data collecting card.
The described plantar pressure measuring device of the present embodiment, for the method for gait pattern identification, comprises the following steps:
1) image data
Left foot shoe pad and right insole are put into respectively to left shoe and the right shoe of wearing for the tested person, allowing the tested person carry out each corresponding pressure sensor data by 5 kinds of gait pattern successively detects, described 5 kinds of gait pattern are followed successively by order: the first, allow the tested person walk at level road, gather level road walking data; The second, allow the tested person on the slope by the walking of going up a slope, and gathers the walking data of going up a slope; The third, allow the tested person on the slope by the descending walking, gathers descending walking data; The 4th kind, allow the tested person on stair by the walking of going upstairs, gather the walking data of going upstairs; The 5th kind, allow the tested person on stair by the walking of going downstairs, gather the walking data of going downstairs;
2) date processing and pattern recognition
Detection data under 5 kinds of gait pattern of step 1) gained and the normal data that is stored in advance 5 kinds of gait pattern in computer are contrasted, and carry out date processing by computer, date processing adopts Matlab software, obtain tested person's gait motion rule, again by being stored in advance KNN method and the decision tree method computing in computer, can obtain embodying the characteristic of tested person's gait pattern, thereby realize identification tested person's gait pattern.
Referring to Fig. 2, Fig. 2 has provided the circuit diagram of 4 sensors in the same shoe pad.The circuit of 4 sensors is identical.
Below provide the present embodiment tested person's actual walking pattern pattern and pattern accordance the result that computer identifies:
Referring to table 1, table 1 is for adopting the KNN algorithm process.Pattern a in table 1 means respectively above-mentioned steps 1 to pattern e) described in five kinds of gait pattern of the first to the, the numerical value 2 in table 1 means that the pattern that the actual walking pattern patterns identify with computer is consistent; Numerical value 1 in table 1 means that the pattern that the actual walking pattern pattern identifies with computer not exclusively conforms to.From table 1, in 10 groups of data, there are 9 groups of gait pattern to coincide, one group of mistake is wherein arranged, this space vector method accuracy is 90%.
Table 1
| ? | Pattern a | Pattern b | Pattern c | Pattern d | Pattern e |
| Pattern a | 2 | ? | ? | ? | ? |
| Pattern b | ? | 2 | ? | 1 | ? |
| Pattern c | ? | ? | 2 | ? | ? |
| Pattern d | ? | ? | ? | 1 | ? |
| Pattern e | ? | ? | ? | ? | 2 |
Referring to table 2, table 2 is for adopting decision Tree algorithms to process.Pattern a in table 2 means respectively above-mentioned steps 1 to pattern e) described in five kinds of gait pattern of the first to the, the numerical value 3 in table 2 means that the pattern that the actual walking pattern patterns identify with computer is consistent.
Table 2
| ? | Pattern a | Pattern b | Pattern c | Pattern d | Pattern e |
| Pattern a | 3 | ? | ? | ? | ? |
| Pattern b | ? | 3 | ? | ? | ? |
| Pattern c | ? | ? | 3 | ? | ? |
| Pattern d | ? | ? | ? | 3 | ? |
| Pattern e | ? | ? | ? | ? | 3 |
From table 2, for 15 groups of data verification results, all to coincide, the accuracy of the method is 100%.
Claims (5)
1. a plantar pressure measuring device, is characterized in that, comprises left foot shoe pad and right insole, and signal conditioning circuit, data acquisition circuit and computer;
Described left foot shoe pad and right insole are equipped with 4 pressure transducers, and 4 pressure transducers of left foot shoe pad and 4 pressure transducers of right insole are symmetrical arranged; The installation site of 4 pressure transducers is: the heel of shoe pad is installed 1, and the vola place of shoe pad installs 2, and the toe place of shoe pad installs 1; The signal output part of each pressure transducer connects the input of signal conditioning circuit, the input of the output termination data acquisition circuit of signal conditioning circuit, the output termination computer of data acquisition circuit.
2. a kind of plantar pressure measuring device as claimed in claim 1, is characterized in that, described pressure transducer adopts the FSR pressure transducer.
3. a kind of plantar pressure measuring device as claimed in claim 1, is characterized in that, described signal conditioning circuit comprises amplifying circuit and filter circuit.
4. a kind of plantar pressure measuring device as claimed in claim 1, is characterized in that, described data acquisition circuit adopts the DAQ data collecting card.
5. a gait pattern recognition methods, is characterized in that, adopts plantar pressure measuring device as claimed in claim 1, comprises the following steps:
1) image data
Left foot shoe pad and right insole are put into respectively to left shoe and the right shoe of wearing for the tested person, allowing the tested person carry out each corresponding pressure sensor data by 5 kinds of gait pattern successively detects, described 5 kinds of gait pattern are followed successively by order: the first, allow the tested person walk at level road, gather level road walking data; The second, allow the tested person on the slope by the walking of going up a slope, and gathers the walking data of going up a slope; The third, allow the tested person on the slope by the descending walking, gathers descending walking data; The 4th kind, allow the tested person on stair by the walking of going upstairs, gather the walking data of going upstairs; The 5th kind, allow the tested person on stair by the walking of going downstairs, gather the walking data of going downstairs;
2) date processing and pattern recognition
Detection data under 5 kinds of gait pattern of step 1) gained and the normal data that is stored in advance 5 kinds of gait pattern in computer are contrasted, and carry out date processing by computer, date processing adopts Matlab software, obtain tested person's gait motion rule, again by being stored in advance KNN method and the decision tree method computing in computer, can obtain embodying the characteristic of tested person's gait pattern, thereby realize identification tested person's gait pattern.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103800016A (en) * | 2014-02-25 | 2014-05-21 | 河北工业大学 | Human body identity gait recognition system based on combination of visual sense and tactile sense and recognition method thereof |
| CN104382608A (en) * | 2014-09-23 | 2015-03-04 | 电子科技大学 | Human body gait information collection shoe based on foot sole pressure |
| CN104757983A (en) * | 2014-01-06 | 2015-07-08 | 上海理工大学 | Force-measuring shoe for balance training and evaluation |
| CN105411593A (en) * | 2014-09-12 | 2016-03-23 | 三星电子株式会社 | Method and apparatus for recognizing gait task |
| CN105662419A (en) * | 2016-04-25 | 2016-06-15 | 电子科技大学 | Plantar pressure measuring device and method for exoskeleton control |
| CN106137205A (en) * | 2016-06-27 | 2016-11-23 | 北京大学深圳研究生院 | Insole type sole pressure apparatus for measuring distribution and system |
| CN108030497A (en) * | 2018-01-16 | 2018-05-15 | 大连乾函科技有限公司 | A kind of gait analysis devices and methods therefor based on IMU inertial sensors |
| CN108062979A (en) * | 2018-01-11 | 2018-05-22 | 大连乾函科技有限公司 | A kind of static plantar pressure analytical equipment and method based on pressure sensor |
| CN112189945A (en) * | 2020-09-25 | 2021-01-08 | 电子科技大学 | Gait monitoring insole based on pressure sensor |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6360597B1 (en) * | 1997-01-08 | 2002-03-26 | The Trustees Of Boston University | In-shoe remote telemetry gait analysis system |
| US20080216593A1 (en) * | 2007-02-22 | 2008-09-11 | Jacobsen Stephen C | Device for promoting toe-off during gait |
| CN101912271A (en) * | 2010-07-19 | 2010-12-15 | 中国科学院深圳先进技术研究院 | System and method for displaying plantar pressure in real time |
| CN102670218A (en) * | 2012-05-15 | 2012-09-19 | 北京大学 | Wearable foot bottom pressure acquisition device for artificial limb control |
| CN103186792A (en) * | 2013-03-26 | 2013-07-03 | 北京林业大学 | Optimized C-support vector sorting machine-based gait recognition method |
-
2013
- 2013-09-30 CN CN2013104617913A patent/CN103462619A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6360597B1 (en) * | 1997-01-08 | 2002-03-26 | The Trustees Of Boston University | In-shoe remote telemetry gait analysis system |
| US20080216593A1 (en) * | 2007-02-22 | 2008-09-11 | Jacobsen Stephen C | Device for promoting toe-off during gait |
| CN101912271A (en) * | 2010-07-19 | 2010-12-15 | 中国科学院深圳先进技术研究院 | System and method for displaying plantar pressure in real time |
| CN102670218A (en) * | 2012-05-15 | 2012-09-19 | 北京大学 | Wearable foot bottom pressure acquisition device for artificial limb control |
| CN103186792A (en) * | 2013-03-26 | 2013-07-03 | 北京林业大学 | Optimized C-support vector sorting machine-based gait recognition method |
Non-Patent Citations (3)
| Title |
|---|
| 徐川龙等: "一种基于三维加速度传感器的人体行为识别方法", 《计算机系统应用》 * |
| 许文芳: "基于人体宽度特征的步态识别", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 赵子健等: "基于角度直方图的步态识别算法", 《计算机工程与科学》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104757983A (en) * | 2014-01-06 | 2015-07-08 | 上海理工大学 | Force-measuring shoe for balance training and evaluation |
| CN103800016A (en) * | 2014-02-25 | 2014-05-21 | 河北工业大学 | Human body identity gait recognition system based on combination of visual sense and tactile sense and recognition method thereof |
| CN103800016B (en) * | 2014-02-25 | 2015-11-04 | 河北工业大学 | Based on human body identity Gait Recognition system and the recognition methods thereof of looking sense of touch combination |
| CN105411593A (en) * | 2014-09-12 | 2016-03-23 | 三星电子株式会社 | Method and apparatus for recognizing gait task |
| CN104382608A (en) * | 2014-09-23 | 2015-03-04 | 电子科技大学 | Human body gait information collection shoe based on foot sole pressure |
| CN105662419A (en) * | 2016-04-25 | 2016-06-15 | 电子科技大学 | Plantar pressure measuring device and method for exoskeleton control |
| CN106137205A (en) * | 2016-06-27 | 2016-11-23 | 北京大学深圳研究生院 | Insole type sole pressure apparatus for measuring distribution and system |
| CN108062979A (en) * | 2018-01-11 | 2018-05-22 | 大连乾函科技有限公司 | A kind of static plantar pressure analytical equipment and method based on pressure sensor |
| CN108030497A (en) * | 2018-01-16 | 2018-05-15 | 大连乾函科技有限公司 | A kind of gait analysis devices and methods therefor based on IMU inertial sensors |
| CN108030497B (en) * | 2018-01-16 | 2023-12-19 | 大连乾函科技有限公司 | Gait analysis device and method based on IMU inertial sensor |
| CN112189945A (en) * | 2020-09-25 | 2021-01-08 | 电子科技大学 | Gait monitoring insole based on pressure sensor |
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Application publication date: 20131225 |