CN203634172U - Gait information testing system - Google Patents
Gait information testing system Download PDFInfo
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- CN203634172U CN203634172U CN201320830113.5U CN201320830113U CN203634172U CN 203634172 U CN203634172 U CN 203634172U CN 201320830113 U CN201320830113 U CN 201320830113U CN 203634172 U CN203634172 U CN 203634172U
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Abstract
The utility model belongs to the field of optical motion capture and particularly relates to a gait information testing system. The gait information testing system comprises an optical three-dimensional action capture system, a biomechanical force testing table, a surface myoelectricity testing system, a computer and a walking test table, wherein the biomechanical force testing table is embedded into the walking test table, and the optical three-dimensional action capture system, the surface myoelectricity testing system and the biomechanical force testing table are connected with the computer through a wired network. The gait information testing system has the advantages of adopting multiple infrared high-sensibility camera shooting machines and associated equipment, achieving acquisition of high-accuracy real-time three-dimensional motion data, supporting real-time online or offline motion capture and analysis and providing required accurate reference data for design of walking aid structures and control systems.
Description
Technical field
This utility model belongs to the motion-captured field of optical profile type, relates in particular to a kind of gait information test macro.
Background technology
Along with the increase of population, the handicapped patient that the cerebrovascular disease such as apoplexy, apoplexy and industrial injury, traffic accident, wound etc. cause increases, and people with disability's quantity also can strengthen.There is at present disabled's family to account for nearly 1/5 of the total amount of national family, the development of the rehabilitation product technology that dynamical type walking aid is relevant will directly have influence on the Health and Living that accounts for invalids and old group in nearly 1/5 people from family of China, with social development with stablize of close concern to each other.
The design of dynamical type walking aid and research and development, the biomechanics characteristic that needs researching human body to restore balance in process after gait unstability under different mode of loadings and different load capacity, the affect rule of analytic induction people's loading condition on walking Space Time parameter, kinesiology kinetic parameter, need to gather a large amount of precision datas, the length that expends time in, workload is large.
Summary of the invention
For the problems referred to above that will solve, this utility model provides a kind of gait information test macro.
The technical solution of the utility model: a kind of gait information test macro, comprise optical 3-dimensional motion capture system, surface myoelectric test macro, biomechanics ergograph, computer and machine walking testing stand, described biological ergograph embeds described walking testing stand inside, and described optical 3-dimensional motion capture system, described surface myoelectric test macro and described biological ergograph are connected with described computer by cable network.
Described optical 3-dimensional motion capture system comprises infrared camera, transducer, information switching box and controller, and described transducer is connected with described controller by described information switching box, and then is connected with described computer.
Described surface myoelectric test macro comprises sensor and remote sensing myoelectricity analyser, and described sensor is connected by wireless network with described remote sensing myoelectricity analyser, and described remote sensing myoelectricity analyser is connected by cable network with described computer.
Described biomechanics ergograph is 2 and contiguous installation, to guarantee that in a gait cycle, left and right foot can be stepped on respectively on described biomechanics ergograph.
On described computer, motion analysis system is installed, described motion analysis system is to develop based on Pearson correlation analysis.
Described walking testing stand gradient adjustable and radius of turn.
Described thermal camera is 10 and is divided into 5 of 2 every teams of team, and described thermal camera is arranged on tester and is around uniformly distributed, and described transducer is 2, and 5 of described thermal cameras are connected to 1 of described transducer with 1 group of 1 composition of described biomechanics ergograph.
Described sensor is laid in tester's skin of lower extremity surface.
Described biomechanics ergograph frequency acquisition is 1000Hz.
This utility model beneficial effect is: adopt many infrared ray high sensitivity video cameras and relevant device, the collection of three-dimensional motion data while realizing high-precision real, support motion-captured, the analysis of real-time online or off-line, provide required accurate reference data for designing walk-assisting device structure and control system.
Accompanying drawing explanation
Fig. 1 is structural representation of the present utility model.
In figure, 1, infrared camera, 2, transducer, 3, information switching box, 4, controller, 5, sensor, 6, remote sensing myoelectricity analyser, 7, biomechanics ergograph, 8, computer, 9, walking testing stand
The specific embodiment
Below in conjunction with accompanying drawing 1, a kind of specific embodiment of the present utility model is explained.
This utility model relates to a kind of gait information test macro, comprise optical 3-dimensional motion capture system, surface myoelectric test macro, biomechanics ergograph, computer and machine walking testing stand, described biological ergograph embeds described walking testing stand inside, and described optical 3-dimensional motion capture system, surface myoelectric test macro and biological ergograph are connected with computer by cable network.
Described optical 3-dimensional motion capture system comprises infrared camera 1, transducer 2, information switching box 3 and controller 4, and described transducer 2 is connected with described controller 4 by described information switching box 3, and then is connected with described computer 8.Described surface myoelectric test macro comprises sensor 5 and remote sensing myoelectricity analyser 6, and described sensor 5 is connected by wireless network with described remote sensing myoelectricity analyser 6, and described remote sensing myoelectricity analyser 6 is connected by cable network with described computer 8.Described biomechanics ergograph 7 is 2 and contiguous installation, to guarantee that in a gait cycle, left and right foot can be stepped on respectively on described biomechanics ergograph 7.On described computer 8, motion analysis system is installed, described motion analysis system is to develop based on Pearson correlation analysis.Described walking testing stand 9 gradient adjustables and radius of turn.Described thermal camera 1 is 10 and is divided into 5 of 2 every teams of team, described thermal camera 1 is arranged on tester and is around uniformly distributed, described transducer 2 is 2, and 1 group of the composition of 1 and 1 described biomechanics ergograph 1 of 5 described thermal cameras is connected to 1 described transducer.Described sensor 5 is laid in tester's skin of lower extremity surface.Described biomechanics ergograph 7 frequency acquisitions are 1000Hz.
Example: utilize optical 3-dimensional motion capture system to carry out orthogonal test, the gradient and the radius of turn of reconditioner walking testing stand, gather the leg speed of human body under various experiment conditions, cadence, step-length, when gait cycle and gait, equate parameter, utilize biomechanics ergograph and surface myoelectric test macro simultaneously, the motion analysis system of the base Pearson correlation analysis exploitation of installing on appliance computer is studied various walking conditions to Space Time parameter, kinesiology kinetic parameter affect rule, extract walk-assisting device structure and the control system data of reference to some extent.
Above an example of the present utility model is had been described in detail, but described content is only preferred embodiment of the present utility model, can not be considered to for limiting practical range of the present utility model.All equalization variation and improvement etc. of doing according to this utility model application range, within all should still belonging to patent covering scope of the present utility model.
Claims (9)
1. a gait information test macro, comprise optical 3-dimensional motion capture system, surface myoelectric test macro, biomechanics ergograph, computer and machine walking testing stand, described biological ergograph embeds described walking testing stand inside, and described optical 3-dimensional motion capture system, described surface myoelectric test macro and described biological ergograph are connected with described computer by cable network.
2. a kind of gait information test macro according to claim 1, it is characterized in that described optical 3-dimensional motion capture system comprises infrared camera, transducer, information switching box and controller, described transducer is connected with described controller by described information switching box.
3. a kind of gait information test macro according to claim 1, it is characterized in that described surface myoelectric test macro comprises sensor and remote sensing myoelectricity analyser, described sensor is connected by wireless network with described remote sensing myoelectricity analyser, and described remote sensing myoelectricity analyser is connected by cable network with described computer.
4. a kind of gait information test macro according to claim 1, is characterized in that described biomechanics ergograph is 2 and contiguous installation, to guarantee that in a gait cycle, left and right foot can be stepped on respectively on described biomechanics ergograph.
5. a kind of gait information test macro according to claim 1, is characterized in that, on described computer, motion analysis system is installed, and described motion analysis system is to develop based on Pearson correlation analysis.
6. a kind of gait information test macro according to claim 1, is characterized in that described walking testing stand gradient adjustable and radius of turn.
7. a kind of gait information test macro according to claim 2, it is characterized in that described thermal camera is 10 and is divided into 5 of 2 every teams of team, described thermal camera is arranged on tester and is around uniformly distributed, described transducer is 2, and 5 of described thermal cameras are connected to 1 of described transducer with 1 group of 1 composition of described biomechanics ergograph.
8. a kind of gait information test macro according to claim 3, is characterized in that described sensor is laid in tester's skin of lower extremity surface.
9. a kind of gait information test macro according to claim 4, is characterized in that described biomechanics ergograph frequency acquisition is 1000Hz.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104095639A (en) * | 2014-08-04 | 2014-10-15 | 深圳超多维光电子有限公司 | Motion detecting method and system of pyroelectric infrared sensor array |
CN105105758A (en) * | 2015-08-20 | 2015-12-02 | 邵哲 | Method and device for testing walking data |
CN108379817A (en) * | 2018-04-03 | 2018-08-10 | 杭州心景科技有限公司 | Limb rehabilitation training system and method |
CN111616716A (en) * | 2020-01-09 | 2020-09-04 | 成都维客昕微电子有限公司 | Step frequency measuring device and method based on multi-wavelength light source combination |
CN113230640A (en) * | 2021-06-17 | 2021-08-10 | 郑州大学 | System and method for analyzing movement of bicyclist |
-
2013
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104095639A (en) * | 2014-08-04 | 2014-10-15 | 深圳超多维光电子有限公司 | Motion detecting method and system of pyroelectric infrared sensor array |
CN104095639B (en) * | 2014-08-04 | 2016-07-06 | 深圳超多维光电子有限公司 | The method for testing motion of pyroelectric infrared sensor array and movement detection systems |
CN105105758A (en) * | 2015-08-20 | 2015-12-02 | 邵哲 | Method and device for testing walking data |
CN108379817A (en) * | 2018-04-03 | 2018-08-10 | 杭州心景科技有限公司 | Limb rehabilitation training system and method |
CN111616716A (en) * | 2020-01-09 | 2020-09-04 | 成都维客昕微电子有限公司 | Step frequency measuring device and method based on multi-wavelength light source combination |
CN111616716B (en) * | 2020-01-09 | 2023-10-20 | 成都维客昕微电子有限公司 | Step frequency measuring device and method based on multi-wavelength light source combination |
CN113230640A (en) * | 2021-06-17 | 2021-08-10 | 郑州大学 | System and method for analyzing movement of bicyclist |
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