CN202604831U - Limb motion parameter collecting and processing device - Google Patents
Limb motion parameter collecting and processing device Download PDFInfo
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- CN202604831U CN202604831U CN 201220182132 CN201220182132U CN202604831U CN 202604831 U CN202604831 U CN 202604831U CN 201220182132 CN201220182132 CN 201220182132 CN 201220182132 U CN201220182132 U CN 201220182132U CN 202604831 U CN202604831 U CN 202604831U
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Abstract
The utility model discloses a limb motion parameter collecting and processing device which comprises a light-emitting diode (LED) lighting device, a vidicon, a video collecting card and a computer. The vidicon, the video collecting card and the computer are sequentially connected. The device uses video identification and electronic control in limb survey and artificial limb design, particularly movement of limbs of a human body wearing lighting points under normal treads is shot through the high definition vidicon, pictures are transmitted to the computer through the video collecting card, Vi wrote by LabView stored in the computer is used for identifying characteristic lighting points representing limb movement states, the characteristic lighting points are extracted, digital image processing technology and machine vision technology are applied to analyze and calculate the characteristic lighting points to obtain motion parameters of the limbs of the human body under the normal treads, and scientific and accurate basis for analyzing limb movement and the artificial limb design of athletes are provided.
Description
Technical field
This utility model belongs to the electronic auto-control technology field, is specifically related to a kind of limb motion parameter acquisition blood processor.
Background technology
Existing limb motion parameter acquisition blood processor mainly is that the technological means of utilizing multisensor to measure gait parameter comes corresponding data are gathered; This device needs each pick off is arranged in the corresponding position of limbs exactly in use, and use complex operation and the error in data of being gathered are bigger.
Summary of the invention
To the defective or the deficiency of prior art, the purpose of this utility model is to provide a kind of easy to use, limb motion parameter acquisition blood processor that accuracy is high.
For realizing above-mentioned technical assignment, this utility model is taked following technical solution:
A kind of limb motion parameter acquisition blood processor is characterized in that comprise LED luminous organ, video camera, video frequency collection card and computer, said video camera, video frequency collection card and computer are connected successively.
Said video frequency collection card adopts the PCI1411 video frequency collection card.
Device is applied to video identification, Electronic Control in limbs research and the artificial limb design; The lower limb of specifically human body being worn luminous point through high-definition camera are taken in the motion under the normal gait; Pass to computer through video frequency collection card; The Vi that the LabVIEW that stores in the appliance computer writes discerns the characteristic luminous point (human femur under loading and hipbone handing-over and patella, shank, ear finger bone) of representing the lower extremity movement state; Extract the characteristic luminous point; Applied Digital image processing techniques and machine vision technique carry out analytical calculation to the characteristic luminous point, obtain the kinematic parameter under the human body lower limbs normal gait, for the design of analyzing athletic limb motion and artificial limb provides science foundation accurately.
The device of this utility model can be applicable to limbs research, comprises robot research, the design of artificial limb and Control Study, fields such as athletic kinestate research.
Description of drawings
Fig. 1 is the structural representation of this utility model.
Below in conjunction with embodiment and accompanying drawing this utility model is done further explain.
The specific embodiment
On the LabVIEW software platform, adopt vision and motion module to gather human body lower limbs motion gait video; Through the recognition and tracking gauge point and to its carry out relevant treatment the method online in real time calculate the lower extremity movement parameter; On this parameter basis, set up the kinestate model of thigh and calf, adopt multisensor to measure the accuracy of gait parameter method in the time of can improving the research gait motion.Adopt the method for video acquisition lower limb parameter to open up new direction for the researching human body limb motion, this method is set up the kinestate model and for artificial limb design new tool is provided.
With reference to figure 1; The limb motion parameter acquisition blood processor of this utility model comprises LED luminous organ, video camera, video frequency collection card and computer; Said video camera, video frequency collection card and computer are connected successively, and video frequency collection card wherein adopts PCI 1411 video frequency collection cards.
Device in use; The LED luminous organ is arranged in the corresponding position of limbs; Corresponding LED luminous organ is represented the characteristic luminous point (human femur under loading and hipbone handing-over and patella, shank, ear finger bone) of lower extremity movement state; Obtain the parameter under the lower limb normal gait through video camera, the transfer of data of then video camera being gathered through video frequency collection card is to computer, and Applied Digital image processing techniques and machine vision technique carry out analytical calculation to the characteristic luminous point in computer; Obtain the kinematic parameter under the human body lower limbs normal gait, the normal gait model of thigh and calf swing when simulating the human body lower limbs motion on this basis.
The process that computer is handled the data of being gathered mainly comprises motion gait record, real-time parameter and curve fitting three parts composition.
Motion gait record: luminous point is fixed on four special parts of people's lower limb, through the Video processing that collects being obtained the kinestate video sequence of luminous point, and it is carried out analyzing and processing, calculates the motion gait parameter and the motion gait functional relationship of limbs,
Real-time parameter: the kinestate to luminous point in the video carries out the computational analysis processing, can obtain thigh angle and angular speed function, shank angle and angular speed function, thigh and calf angular movement relation function, carries out data storage simultaneously and recovers emulation.
Phantom module: on the basis of the thigh and calf movement function relation that data analysis system calculates; Come the kinestate of control shank in real time through the movement angle of importing the thigh of gathering; In the automatic control system that computer prestored, carry out the simulation and the emulation of the motion of people's lower limb, and then phantom capable of using carries out more careful relative analysis.
Employed electronic devices and components are commercially available known product in the device of this utility model, and those skilled in the art can realize the concrete connection of each electronic devices and components according to the technique effect of this utility model.
Claims (2)
1. a limb motion parameter acquisition blood processor is characterized in that, comprise LED luminous organ, video camera, video frequency collection card and computer, said video camera, video frequency collection card and computer are connected successively.
2. limb motion parameter acquisition blood processor as claimed in claim 1 is characterized in that, said video frequency collection card adopts the PCI1411 video frequency collection card.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220182132 CN202604831U (en) | 2012-04-26 | 2012-04-26 | Limb motion parameter collecting and processing device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220182132 CN202604831U (en) | 2012-04-26 | 2012-04-26 | Limb motion parameter collecting and processing device |
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| Publication Number | Publication Date |
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| CN202604831U true CN202604831U (en) | 2012-12-19 |
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| CN 201220182132 Expired - Fee Related CN202604831U (en) | 2012-04-26 | 2012-04-26 | Limb motion parameter collecting and processing device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105930854A (en) * | 2016-04-19 | 2016-09-07 | 东华大学 | Manipulator visual system |
| CN108742957A (en) * | 2018-06-22 | 2018-11-06 | 上海交通大学 | A kind of artificial limb control method of multi-sensor fusion |
| CN110811830A (en) * | 2019-11-06 | 2020-02-21 | 中国人民解放军总医院第四医学中心 | Analysis device and method based on femoral model |
| CN112704491A (en) * | 2020-12-28 | 2021-04-27 | 华南理工大学 | Lower limb gait prediction method based on attitude sensor and dynamic capture template data |
-
2012
- 2012-04-26 CN CN 201220182132 patent/CN202604831U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105930854A (en) * | 2016-04-19 | 2016-09-07 | 东华大学 | Manipulator visual system |
| CN108742957A (en) * | 2018-06-22 | 2018-11-06 | 上海交通大学 | A kind of artificial limb control method of multi-sensor fusion |
| CN110811830A (en) * | 2019-11-06 | 2020-02-21 | 中国人民解放军总医院第四医学中心 | Analysis device and method based on femoral model |
| CN110811830B (en) * | 2019-11-06 | 2021-03-16 | 中国人民解放军总医院第四医学中心 | Analysis device and method based on femoral model |
| CN112704491A (en) * | 2020-12-28 | 2021-04-27 | 华南理工大学 | Lower limb gait prediction method based on attitude sensor and dynamic capture template data |
| CN112704491B (en) * | 2020-12-28 | 2022-01-28 | 华南理工大学 | Lower limb gait prediction method based on attitude sensor and dynamic capture template data |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121219 Termination date: 20150426 |
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| EXPY | Termination of patent right or utility model |