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Adaptive pattern recognition of myoelectric signal towards practical multifunctional prosthesis control

Published on Oct 3, 2012 in ICIRA (International Conference on Intelligent Robotics and Applications)
· DOI :10.1007/978-3-642-33509-9_52
Jiayuan He6
Estimated H-index: 6
(SJTU: Shanghai Jiao Tong University),
Dingguo Zhang17
Estimated H-index: 17
(SJTU: Shanghai Jiao Tong University),
Xiangyang Zhu21
Estimated H-index: 21
(SJTU: Shanghai Jiao Tong University)
Abstract
Towards the real-world application of multifunctional prostheses based on electromyography (EMG) signal, an unsupervised adaptive myoelectric control approach was presented in order to improve the long-time classification performance of EMG pattern recognition. The widely-used linear discriminant analysis (LDA) was improved to three new different classifiers separately termed as linear discriminant analysis with single pattern updating (SPLDA), linear discriminant analysis with multiple patterns updating (MPLDA), and linear discriminant analysis with selected data updating (SDLDA). The experimental result showed that the three new classifiers significantly outperformed the original version. MPLDA and SDLDA provided two different methods to decrease the influence of misclassification and got lower classification error rates than SPLDA. Strategies to decrease the influence of misclassification are the key to the application of unsupervised myoelectric control in the future.
  • References (9)
  • Citations (8)
References9
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Cited By8
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#1Jiayuan He (UW: University of Waterloo)H-Index: 6
#2Xinjun Sheng (SJTU: Shanghai Jiao Tong University)H-Index: 15
Last.Ning Jiang (UW: University of Waterloo)H-Index: 27
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Aug 24, 2015 in ICIRA (International Conference on Intelligent Robotics and Applications)
#1Yangjian Huang (SJTU: Shanghai Jiao Tong University)H-Index: 4
#2Weichao Guo (SJTU: Shanghai Jiao Tong University)H-Index: 4
Last.Peter B. Shull (SJTU: Shanghai Jiao Tong University)H-Index: 13
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Aug 24, 2015 in ICIRA (International Conference on Intelligent Robotics and Applications)
#1Weichao Guo (SJTU: Shanghai Jiao Tong University)H-Index: 4
#2Xinjun Sheng (SJTU: Shanghai Jiao Tong University)H-Index: 15
Last.Xiangyang Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 21
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Aug 1, 2015 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Jiayuan He (SJTU: Shanghai Jiao Tong University)H-Index: 6
#2Dingguo Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 17
Last.Xiangyang Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 21
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Mar 18, 2015 in IUI (Intelligent User Interfaces)
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#2Carlos Duarte (University of Lisbon)H-Index: 13
Sep 25, 2013 in ICIRA (International Conference on Intelligent Robotics and Applications)
#1Jiayuan He (SJTU: Shanghai Jiao Tong University)H-Index: 6
#2Dingguo Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 17
Last.Xiangyang Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 21
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Jul 1, 2013 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Haoshi ZhangH-Index: 5
#2Yaonan Zhao (SDU: Shandong University)H-Index: 1
Last.Guanglin LiH-Index: 23
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