MyoSem is a multimodal alignment framework that maps EMG signals to text-based action semantics for bidirectional retrieval and improved generalization in hand action understanding.
Preprint, arXiv:2412.02725
2 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
33% of 147 common sEMG features show significant associations with demographic characteristics in a cohort of 81 individuals.
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MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding
MyoSem is a multimodal alignment framework that maps EMG signals to text-based action semantics for bidirectional retrieval and improved generalization in hand action understanding.
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Bias in Surface Electromyography Features across a Demographically Diverse Cohort
33% of 147 common sEMG features show significant associations with demographic characteristics in a cohort of 81 individuals.