User Intent Detection is a methodological framework within prosthetic control systems that identifies and interprets the user's desired movement or action by analyzing physiological signals, distinguishing itself from other control strategies through its focus on real-time decoding of neural or muscular correlates of motor intention.
256
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12.1K
Citations
817
Authors
285
Institutions
Publications per year
2017–2026
159
Parents
Publications
256
1–5 of 256
Authors
817
- WC
6
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6
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5
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4
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1–5 of 817
Institutions
285
Microsoft (United States)
Redmond, United States
14 h-index
35 publications
2.3K citations
University of Illinois Chicago
Chicago, United States
7 h-index
16 publications
1.1K citations
Harbin Institute of Technology
Harbin, China
7 h-index
28 publications
2.5K citations
Tsinghua University
Beijing, China
7 h-index
20 publications
980 citations
Peking University
Beijing, China
6 h-index
17 publications
600 citations
National University of Singapore
Singapore, Singapore
6 h-index
17 publications
904 citations
Alibaba Group (China)
Hangzhou, China
5 h-index
17 publications
576 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
7 publications
210 citations
1–8 of 285
Venues
- arXiv (Cornell University)
Repository · 18 publications · 584 citations
14
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- Applied Sciences
4 publications · 75 citations
7
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 6 publications · 233 citations
6
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- IEEE Transactions on Biomedical Engineering
5 publications · 727 citations
5
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- IEEE Transactions on Neural Systems and Rehabilitation Engineering
3 publications · 263 citations
4
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