Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN
Intelligent prosthetic hand is an important branch of intelligent robotics. It can remotely replace humans to complete various complex tasks and also help humans to complete rehabilitation training. In human-computer interaction technology, the prosthetic hand can be accurately controlled by surface...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2022/6488599 |
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| _version_ | 1832565281612890112 |
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| author | Xiaoguang Liu Jiawei Wang Tingwen Han Cunguang Lou Tie Liang Hongrui Wang Xiuling Liu |
| author_facet | Xiaoguang Liu Jiawei Wang Tingwen Han Cunguang Lou Tie Liang Hongrui Wang Xiuling Liu |
| author_sort | Xiaoguang Liu |
| collection | DOAJ |
| description | Intelligent prosthetic hand is an important branch of intelligent robotics. It can remotely replace humans to complete various complex tasks and also help humans to complete rehabilitation training. In human-computer interaction technology, the prosthetic hand can be accurately controlled by surface electromyography (sEMG). This paper proposes a new multichannel fusion scheme (MSFS) to extend the virtual channels of sEMG and improve the accuracy of gesture recognition. In addition, the Temporal Convolutional Network (TCN) in deep learning has been improved to enhance the performance of the network. Finally, the sEMG is collected by the Myo armband and the prosthetic hand is controlled in real time to validate the new method. The experimental results show that the method proposed in this paper can improve the accuracy of the control intelligent prosthetic hand, and the accuracy rate is 93.69%. |
| format | Article |
| id | doaj-art-0edd5c595f794fd094a1090519c1e926 |
| institution | Kabale University |
| issn | 1754-2103 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-0edd5c595f794fd094a1090519c1e9262025-02-03T01:08:46ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/6488599Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCNXiaoguang Liu0Jiawei Wang1Tingwen Han2Cunguang Lou3Tie Liang4Hongrui Wang5Xiuling Liu6College of Electronic and Information EngineeringCollege of Electronic and Information EngineeringCollege of Electronic and Information EngineeringCollege of Electronic and Information EngineeringCollege of Electronic and Information EngineeringCollege of Electronic and Information EngineeringCollege of Electronic and Information EngineeringIntelligent prosthetic hand is an important branch of intelligent robotics. It can remotely replace humans to complete various complex tasks and also help humans to complete rehabilitation training. In human-computer interaction technology, the prosthetic hand can be accurately controlled by surface electromyography (sEMG). This paper proposes a new multichannel fusion scheme (MSFS) to extend the virtual channels of sEMG and improve the accuracy of gesture recognition. In addition, the Temporal Convolutional Network (TCN) in deep learning has been improved to enhance the performance of the network. Finally, the sEMG is collected by the Myo armband and the prosthetic hand is controlled in real time to validate the new method. The experimental results show that the method proposed in this paper can improve the accuracy of the control intelligent prosthetic hand, and the accuracy rate is 93.69%.http://dx.doi.org/10.1155/2022/6488599 |
| spellingShingle | Xiaoguang Liu Jiawei Wang Tingwen Han Cunguang Lou Tie Liang Hongrui Wang Xiuling Liu Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN Applied Bionics and Biomechanics |
| title | Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN |
| title_full | Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN |
| title_fullStr | Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN |
| title_full_unstemmed | Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN |
| title_short | Real-Time Control of Intelligent Prosthetic Hand Based on the Improved TCN |
| title_sort | real time control of intelligent prosthetic hand based on the improved tcn |
| url | http://dx.doi.org/10.1155/2022/6488599 |
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