Electromyography-based Human-computer Interaction
Electromyography-Based Human-Computer Interaction is a human-computer interaction paradigm that utilizes electromyographic signals as the primary input modality to enable direct, real-time control of computing systems through voluntary muscle activity.
443
Publications
22.4K
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1.4K
Authors
535
Institutions
Publications per year
2017–2026
174
Parents
443
Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation
Yu Du, Wenguang Jin, Wentao Wei et al. · Sensors · 2017 · 363 citations · Full text
Enabling always-available input with muscle-computer interfaces
T. Scott Saponas, Desney Tan, Dan Morris et al. · 2009 · 322 citations
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Shanghai Jiao Tong University
Shanghai, China
9 h-index
32 publications
1.7K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
9 h-index
25 publications
1.3K citations

University of Essex
Colchester, United Kingdom
8 h-index
16 publications
659 citations

Hiroshima University
Hiroshima, Japan
8 h-index
21 publications
1.7K citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
13 publications
1.4K citations
University of New Brunswick
Fredericton, Canada
8 h-index
25 publications
1.1K citations
Saga University
Saga, Japan
7 h-index
18 publications
508 citations

University of Auckland
Auckland, New Zealand
7 h-index
23 publications
502 citations
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27 publications · 1.7K citations
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10 publications · 353 citations
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