11 citations · 12 across the 6 of their papers we have counts for
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cs.HC2023★ 1 cited
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger +5
We study the task of gesture recognition from electromyography (EMG), with the goal of enabling expressive human-computer interaction at high accuracy, while minimizing the time re…
cs.HC2023★ 11 cited
User Training with Error Augmentation for Electromyogram-based Gesture Classification
Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik +7
We designed and tested a system for real-time control of a user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in a wrist-band configuratio…