Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect
The virtual rehabilitation system combining virtual rehabilitation environment and upper limb rehabilitation technology is interactive and interesting, which can improve the enthusiasm and initiative of patients for rehabilitation training, improve the efficiency of rehabilitation training and impro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8896976/ |
| _version_ | 1819276190185160704 |
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| author | Lina Wang Jiangbo Liu Jian Lan |
| author_facet | Lina Wang Jiangbo Liu Jian Lan |
| author_sort | Lina Wang |
| collection | DOAJ |
| description | The virtual rehabilitation system combining virtual rehabilitation environment and upper limb rehabilitation technology is interactive and interesting, which can improve the enthusiasm and initiative of patients for rehabilitation training, improve the efficiency of rehabilitation training and improve the effect of rehabilitation treatment. This paper firstly conducts in-depth research and analysis on the research progress of the upper limb rehabilitation robot system, and deeply studies the principle and rehabilitation principle of the stroke caused by hemiplegic dyskinesia, and summarizes the goals and methods of the upper limb rehabilitation system design. Secondly, the hand motion tracking is realized by Kinect's bone tracking, and the optimal tracking distance is determined experimentally, which verifies the stability and robustness of the tracking. Static gesture recognition adopts two gesture recognition schemes based on Kinect depth image and color space model respectively. Finally, using the rehabilitation robot and Kinect sensor as the hardware platform, the virtual rehabilitation training system experimental platform is constructed, and the horizontal rehabilitation exercise and the three-dimensional space rehabilitation exercise are respectively studied experimentally, and the exercise data obtained by using healthy subjects as the experimental object is analyzed. Based on this, the validity and feasibility of the Kinect-based upper limb exercise rehabilitation interactive system were verified. |
| first_indexed | 2024-12-23T23:36:17Z |
| format | Article |
| id | doaj.art-42ecead10fcb412fab3951d5033e3fcf |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-23T23:36:17Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-42ecead10fcb412fab3951d5033e3fcf2022-12-21T17:25:51ZengIEEEIEEE Access2169-35362019-01-01716598516599610.1109/ACCESS.2019.29532288896976Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on KinectLina Wang0https://orcid.org/0000-0001-5474-7757Jiangbo Liu1https://orcid.org/0000-0003-3261-8510Jian Lan2https://orcid.org/0000-0002-2503-4544Department of Physical Education, North China University of Science and Technology, Tangshan, ChinaSchool of Arts and Physical Education, Hebei Institute of Communications, Shijiazhuang, ChinaDepartment of Physical Education, North China University of Science and Technology, Tangshan, ChinaThe virtual rehabilitation system combining virtual rehabilitation environment and upper limb rehabilitation technology is interactive and interesting, which can improve the enthusiasm and initiative of patients for rehabilitation training, improve the efficiency of rehabilitation training and improve the effect of rehabilitation treatment. This paper firstly conducts in-depth research and analysis on the research progress of the upper limb rehabilitation robot system, and deeply studies the principle and rehabilitation principle of the stroke caused by hemiplegic dyskinesia, and summarizes the goals and methods of the upper limb rehabilitation system design. Secondly, the hand motion tracking is realized by Kinect's bone tracking, and the optimal tracking distance is determined experimentally, which verifies the stability and robustness of the tracking. Static gesture recognition adopts two gesture recognition schemes based on Kinect depth image and color space model respectively. Finally, using the rehabilitation robot and Kinect sensor as the hardware platform, the virtual rehabilitation training system experimental platform is constructed, and the horizontal rehabilitation exercise and the three-dimensional space rehabilitation exercise are respectively studied experimentally, and the exercise data obtained by using healthy subjects as the experimental object is analyzed. Based on this, the validity and feasibility of the Kinect-based upper limb exercise rehabilitation interactive system were verified.https://ieeexplore.ieee.org/document/8896976/Kinectvirtual rehabilitation environmentthree-dimensional space rehabilitation exercisegesture recognition |
| spellingShingle | Lina Wang Jiangbo Liu Jian Lan Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect IEEE Access Kinect virtual rehabilitation environment three-dimensional space rehabilitation exercise gesture recognition |
| title | Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect |
| title_full | Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect |
| title_fullStr | Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect |
| title_full_unstemmed | Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect |
| title_short | Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect |
| title_sort | feature evaluation of upper limb exercise rehabilitation interactive system based on kinect |
| topic | Kinect virtual rehabilitation environment three-dimensional space rehabilitation exercise gesture recognition |
| url | https://ieeexplore.ieee.org/document/8896976/ |
| work_keys_str_mv | AT linawang featureevaluationofupperlimbexerciserehabilitationinteractivesystembasedonkinect AT jiangboliu featureevaluationofupperlimbexerciserehabilitationinteractivesystembasedonkinect AT jianlan featureevaluationofupperlimbexerciserehabilitationinteractivesystembasedonkinect |