LLM-sEMG maps sEMG signals to language via a dedicated mechanism to enable LLMs to perform accurate activity recognition.
Electromyography data for non-invasive naturally- controlled robotic hand prostheses.Scientific Data, 1: 140053, 2014
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Translating Signals to Languages for sEMG-Based Activity Recognition
LLM-sEMG maps sEMG signals to language via a dedicated mechanism to enable LLMs to perform accurate activity recognition.