CN203673431U - Motion trail virtual device - Google Patents
Motion trail virtual device Download PDFInfo
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- CN203673431U CN203673431U CN201320636562.6U CN201320636562U CN203673431U CN 203673431 U CN203673431 U CN 203673431U CN 201320636562 U CN201320636562 U CN 201320636562U CN 203673431 U CN203673431 U CN 203673431U
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- 230000033001 locomotion Effects 0.000 title claims abstract description 24
- 238000004891 communication Methods 0.000 claims abstract description 38
- 230000001133 acceleration Effects 0.000 claims abstract description 18
- 206010008129 cerebral palsy Diseases 0.000 abstract description 6
- 238000011084 recovery Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 14
- 238000012549 training Methods 0.000 description 7
- 238000009434 installation Methods 0.000 description 5
- 230000002452 interceptive effect Effects 0.000 description 5
- 238000005259 measurement Methods 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 239000013256 coordination polymer Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000007654 immersion Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 210000001364 upper extremity Anatomy 0.000 description 1
Abstract
The utility model discloses a motion trail virtual device which comprises a gyroscope, an acceleration sensor, a magnetoresistive sensor, a data collecting module, an MCU, a communication module, a power managing module and a computer. The gyroscope is connected with the data collecting module, the acceleration sensor is connected with the data collecting module which is connected with the magnetoresistive sensor and the MCU, the MCU is connected with the communication module which is connected with the computer, and the power managing module is respectively connected with the gyroscope, the acceleration sensor, the magnetoresistive sensor, the data collecting module, the MCU and the communication module. Compared with the prior art, according to the motion trial virtual device, errors contained in measuring values are relatively fixed, human factors do not exist, movement of a specific single joint can be precisely measured, the using range is wide, and the device is not limited to recovery of old people and cerebral palsy children.
Description
Technical field
The utility model relates to virtual reality device field, exactly refers to a kind of movement locus virtual bench.
Background technology
Virtual reality technology, claim again virtual reality technology, to utilize computer system, sense feedback device and modeling technique to generate vision, the sense of hearing and the touch feeling that can directly put on trainer, and under specialist equipment auxiliary, stimulate human body to carry out mutual observation and the technology of controlling to virtual environment or object.
Virtual reality technology mainly comprises that 3 kinds of technology form: 1. three dimensional computer graphics technology; 2. the display technique of high definition and Gao Gengxin speed; 3. adopt the interactive interface technology of Multifunction Sensor.By these the special technology that presents and input medias, virtual reality technology can allow user produce impression on the spot in person.Compared with Traditional Rehabilitation equipment, virtual reality system has 3 key characters: the property immersed (immersion), interactivity (interaction) and imagination (imagination), emphasize the leading role of people in virtual reality system, make information processing system make information handling system be applicable to the needs of human body, and consistent with people's subjective sensation.
At present, prior art solution mainly contains: interactive cube of the interactive rehabilitation training system of Gest-Irex Nancy sight and Gest Cube.
(1) the interactive rehabilitation training system of Gest-Irex Nancy sight
Employing technology: scratch picture technology;
Training function: upper limb stretch, waist twisting, ancon closed chain etc. are trained;
Suitable environment: professional rehabilitation training place;
Adaption object: old rehabilitation.
(2) interactive cube of Gest Cube
Employing technology: projection recognition technology;
Training function: the interesting rehabilitation trainings such as lying prone of CP children be sleeping, walk, trample, cognitive;
Suitable environment: clean, sanitary, aseptic environment;
Applicable object: children with cerebral palsy.
Prior art solution mainly contains following deficiency: 1, provide the pattern of training limited, can not accurately train for single joint; 2, applicable crowd's scope is little, is only suitable for old rehabilitation and children with cerebral palsy.
Utility model content
For above-mentioned defect, the technical matters that the utility model solves is to provide a kind of movement locus virtual bench, and the error comprising in measured value is relatively fixing, does not have human factor, can be as accurate as the motion in concrete single joint; Usable range is wide, is not limited to old rehabilitation and children with cerebral palsy.
In order to solve above technical matters, what the utility model provided comprises gyroscope, acceleration transducer, magnetoresistive transducer, data acquisition module, MCU, communication module, power management module and computing machine;
Described gyroscope is connected with described data acquisition module;
Described acceleration transducer is connected with described data acquisition module;
Described magnetoresistive transducer is connected with described data acquisition module;
Described data acquisition module is connected with described MCU;
Described MCU is connected with described communication module;
Described communication module is connected with computing machine;
Described power management module is connected with described gyroscope, acceleration transducer, magnetoresistive transducer, data acquisition module, MCU and communication module respectively.
Preferably, described communication module is wireless or wire communication module.
Preferably, described communication module is bluetooth communication module.
Preferably, described communication module is wifi communication module.
The movement locus virtual bench that the utility model provides, use 9 axle sensors (3 axle gyroscopes, 3 axle magnetoresistive transducers, 3 axle acceleration sensors), sensor is fixed on tested joint, sensor is change location along with joint motion, measure the attitude (Eulerian angle of the relative earth of testee, quaternary element, the data such as rotation matrix), by measured object relatively starting point with data exercise end, draw the space angle-data that testee swings, the joint that just can calculate wearable sensors is activity point of view and the position in each plane spatially.The error comprising in measured value is relatively fixing, there is not human factor, when measurement as long as sensor is arbitrarily arranged on testee surface, guarantee sensor not can and measured object between produce relative displacement, the measuring error that has greatly lowered installation difficulty and caused due to installation.Compared with prior art, the movement locus virtual bench that the utility model provides, the error comprising in measured value is relatively fixing, does not have human factor, can be as accurate as the motion in concrete single joint; Usable range is wide, is not limited to old rehabilitation and children with cerebral palsy.
Brief description of the drawings
Fig. 1 is the structured flowchart of movement locus virtual bench in the utility model embodiment.
Embodiment
For those skilled in the art can understand technical scheme provided by the utility model better, set forth below in conjunction with specific embodiment.
Refer to Fig. 1, this figure is the structured flowchart of movement locus virtual bench in the utility model embodiment.
The movement locus virtual bench that the utility model embodiment provides, comprises gyroscope 1, acceleration transducer 2, magnetoresistive transducer 3, data acquisition module 4, MCU5, communication module 6 and power management module 7;
Gyroscope 1 is connected with data acquisition module 4, for reflecting in real time current rotational angular velocity;
Acceleration transducer 2 is connected with data acquisition module 4, for reflecting in real time current acceleration condition;
Magnetoresistive transducer 3 is connected with data acquisition module 4, for reflecting and the component of 3 orthogonal directionss of current space magnetic field direction;
Data acquisition module 4 is connected with MCU5, it is synchronous that data acquisition module 4 becomes the Data collecting conversion of three sensors such as gyroscope 1, acceleration transducer 2 and magnetoresistive transducer 3 needed physical quantity data and three sensors are carried out to data, and data of handling well will be sent to MCU5;
MCU5 is connected with communication module 6, and data are carried out blending algorithm operation in MCU5, and the three-dimensional full attitude data of output is to communication module 6;
Power management module 7 is connected with gyroscope 1, acceleration transducer 2, magnetoresistive transducer 3, data acquisition module 4, MCU5 and communication module 6 respectively, respectively modules is powered.
Wherein, gyroscope 1 is three-axis gyroscope; Acceleration transducer 2 is 3-axis acceleration sensor; Magnetoresistive transducer 3 is three axle magnetoresistive transducers.
Communication module 6 is wireless or wire communication module, and communication module 6 is connected with computing machine 8, and communication module 6 is by the data transmission collecting to computing machine 8, and computing machine 8, to these data analysis processing, obtains corresponding movement locus.When communication module 6 is wireless communication module, wireless communication module can be selected bluetooth communication module or wifi communication module.In the present embodiment, communication module is bluetooth communication module, and when measurement, operation and installation are convenient.
The movement locus virtual bench that the utility model provides, use 9 axle sensors (3 axle gyroscopes, 3 axle magnetoresistive transducers, 3 axle acceleration sensors), sensor is fixed on tested joint, sensor is change location along with joint motion, measure the attitude (Eulerian angle of the relative earth of testee, quaternary element, the data such as rotation matrix), by measured object relatively starting point with data exercise end, draw the space angle-data that testee swings, the joint that just can calculate wearable sensors is activity point of view and the position in each plane spatially.The error comprising in measured value is relatively fixing, there is not human factor, when measurement as long as sensor is arbitrarily arranged on testee surface, guarantee sensor not can and measured object between produce relative displacement, the measuring error that has greatly lowered installation difficulty and caused due to installation.
Compared with prior art, the movement locus virtual bench that the utility model provides, the error comprising in measured value is relatively fixing, does not have human factor, can be as accurate as the motion in concrete single joint; Usable range is wide, is not limited to old rehabilitation and children with cerebral palsy.
To the above-mentioned explanation of the disclosed embodiments, make professional and technical personnel in the field can realize or use the utility model.To be apparent for those skilled in the art to the multiple amendment of these embodiment, General Principle as defined herein can, in the situation that not departing from spirit or scope of the present utility model, realize in other embodiments.Therefore, the utility model will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (4)
1. a movement locus virtual bench, is characterized in that, comprises gyroscope, acceleration transducer, magnetoresistive transducer, data acquisition module, MCU, communication module, power management module and computing machine;
Described gyroscope is connected with described data acquisition module;
Described acceleration transducer is connected with described data acquisition module;
Described magnetoresistive transducer is connected with described data acquisition module;
Described data acquisition module is connected with described MCU;
Described MCU is connected with described communication module;
Described communication module is connected with computing machine;
Described power management module is connected with described gyroscope, acceleration transducer, magnetoresistive transducer, data acquisition module, MCU and communication module respectively.
2. movement locus virtual bench according to claim 1, is characterized in that, described communication module is wireless or wire communication module.
3. movement locus virtual bench according to claim 2, is characterized in that, described communication module is bluetooth communication module.
4. movement locus virtual bench according to claim 2, is characterized in that, described communication module is wifi communication module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320636562.6U CN203673431U (en) | 2013-10-15 | 2013-10-15 | Motion trail virtual device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320636562.6U CN203673431U (en) | 2013-10-15 | 2013-10-15 | Motion trail virtual device |
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| Publication Number | Publication Date |
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| CN203673431U true CN203673431U (en) | 2014-06-25 |
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| CN201320636562.6U Expired - Lifetime CN203673431U (en) | 2013-10-15 | 2013-10-15 | Motion trail virtual device |
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| CN (1) | CN203673431U (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105056503A (en) * | 2015-07-28 | 2015-11-18 | 湖南人文科技学院 | System and method for mapping and calibrating training javelins |
| CN105105759A (en) * | 2015-08-31 | 2015-12-02 | 张昊华 | Recovery behavior aiding method and mobile intelligent action monitoring recovery guiding instrument |
| CN105303201A (en) * | 2015-11-03 | 2016-02-03 | 广东小天才科技有限公司 | Method and system for performing handwriting identification based on action sensing |
| CN105833529A (en) * | 2016-05-18 | 2016-08-10 | 富阳陈工企业管理咨询有限公司 | Measurement controller for intelligent gyro, intelligent gyro and competition platform system for intelligent gyro |
| CN106474716A (en) * | 2016-06-24 | 2017-03-08 | 郑州动量科技有限公司 | A kind of footballer's pace work monitoring and evaluation method and its system |
| CN106706018A (en) * | 2016-12-28 | 2017-05-24 | 北京奇艺世纪科技有限公司 | VR equipment nine-shaft sensor performance testing method, device and testing rotary table |
| CN109859597A (en) * | 2019-03-07 | 2019-06-07 | 哈工大机器人（合肥）国际创新研究院 | A kind of rehabilitation simulation people's pose acquisition system and method |
| CN112331300A (en) * | 2020-11-17 | 2021-02-05 | 南昌航空大学 | Acceleration sensor-based knee-climbing joint collaborative motion analysis system for children with cerebral palsy |
-
2013
- 2013-10-15 CN CN201320636562.6U patent/CN203673431U/en not_active Expired - Lifetime
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105056503A (en) * | 2015-07-28 | 2015-11-18 | 湖南人文科技学院 | System and method for mapping and calibrating training javelins |
| CN105105759A (en) * | 2015-08-31 | 2015-12-02 | 张昊华 | Recovery behavior aiding method and mobile intelligent action monitoring recovery guiding instrument |
| CN105303201A (en) * | 2015-11-03 | 2016-02-03 | 广东小天才科技有限公司 | Method and system for performing handwriting identification based on action sensing |
| CN105303201B (en) * | 2015-11-03 | 2018-08-24 | 广东小天才科技有限公司 | A kind of method and system carrying out handwriting recognition based on action induction |
| CN105833529A (en) * | 2016-05-18 | 2016-08-10 | 富阳陈工企业管理咨询有限公司 | Measurement controller for intelligent gyro, intelligent gyro and competition platform system for intelligent gyro |
| CN106474716A (en) * | 2016-06-24 | 2017-03-08 | 郑州动量科技有限公司 | A kind of footballer's pace work monitoring and evaluation method and its system |
| CN106474716B (en) * | 2016-06-24 | 2019-08-16 | 郑州动量科技有限公司 | A kind of footballer's pace work monitoring and evaluation method and its system |
| CN106706018A (en) * | 2016-12-28 | 2017-05-24 | 北京奇艺世纪科技有限公司 | VR equipment nine-shaft sensor performance testing method, device and testing rotary table |
| CN106706018B (en) * | 2016-12-28 | 2019-06-14 | 重庆爱奇艺智能科技有限公司 | Test method, device and the test table of nine axle sensor performances in VR equipment |
| CN109859597A (en) * | 2019-03-07 | 2019-06-07 | 哈工大机器人（合肥）国际创新研究院 | A kind of rehabilitation simulation people's pose acquisition system and method |
| CN112331300A (en) * | 2020-11-17 | 2021-02-05 | 南昌航空大学 | Acceleration sensor-based knee-climbing joint collaborative motion analysis system for children with cerebral palsy |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CU01 | Correction of utility model |
Correction item: Second applicant Correct: JUMHO ELECTRIC (GUANGZHOU) CO.,LTD. False: JUMHO ELECTRIC (GUANGZHOU) CO.,LTD. Number: 26 Page: The title page Volume: 30 |
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| CU03 | Publication of corrected utility model |
Correction item: Second applicant Correct: JUMHO ELECTRIC (GUANGZHOU) CO.,LTD. False: JUMHO ELECTRIC (GUANGZHOU) CO.,LTD. Number: 26 Volume: 30 |
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Free format text: CORRECT: THE SECOND APPLICANT; FROM: JUMHO ELECTRIC GUANGZHOU CO., LTD. TO: GUANGZHOU JUMHO ELECTRIC CO., LTD. |
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| RECT | Rectification | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20160607 Address after: 510663, No. 15, Daguan Middle Road, Tianhe District, Guangdong, Guangzhou Patentee after: JUMHO ELECTRIC (GUANGZHOU) CO.,LTD. Address before: 510663, No. 15, Daguan Middle Road, Tianhe District, Guangdong, Guangzhou Patentee before: Gu Jie Patentee before: JUMHO ELECTRIC (GUANGZHOU) CO.,LTD. |
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| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20160914 Address after: A cross road two 510000 Avenue in Guangdong city of Guangzhou province Tianhe District Xintang Tian Gang Industrial Zone No. 2 building A 327-332 Patentee after: GUANGZHOU ZHANGHE INTELLIGENT TECHNOLOGY CO.,LTD. Address before: 510663, No. 15, Daguan Middle Road, Tianhe District, Guangdong, Guangzhou Patentee before: JUMHO ELECTRIC (GUANGZHOU) CO.,LTD. |
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| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20140625 |