Hand Gesture Classification Using Nearest Centroid with Soft-DTW Loss on sEMG Signals

Lingfeng Zhang; Zunian Wan; Yepeng Ding; Junwei Yu; Takefumi Ogawa; Hiroyuki Satō

doi:10.1109/ispa63168.2024.00095

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Hand Gesture Classification Using Nearest Centroid with Soft-DTW Loss on sEMG Signals

Lingfeng Zhang Zunian Wan Yepeng Ding Junwei Yu Takefumi Ogawa Hiroyuki Satō

Year: 2024 Pages: 701-709

DOI: 10.1109/ispa63168.2024.00095

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Keywords:

Centroid Gesture Computer science Pattern recognition (psychology) Artificial intelligence Speech recognition Gesture recognition k-nearest neighbors algorithm Computer vision

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Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Muscle activation and electromyography studies

Physical Sciences → Engineering → Biomedical Engineering

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Hand Gesture Classification Using Nearest Centroid with Soft-DTW Loss on sEMG Signals

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