Surface Electromyography
PulseAugur coverage of Surface Electromyography — every cluster mentioning Surface Electromyography across labs, papers, and developer communities, ranked by signal.
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New encoder improves cross-user gesture recognition from sEMG data
Researchers have developed a novel montage-agnostic encoder designed to improve cross-user gesture recognition from surface electromyography (sEMG) data. This encoder utilizes shared weights for each electrode and locat…
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New encoder improves cross-user gesture recognition for myoelectric prosthetics
Researchers have developed a new montage-agnostic encoder designed to improve cross-user gesture recognition from surface electromyography (sEMG) signals. This encoder uses shared weights for each electrode, locating th…
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Single-channel sEMG shows promise for efficient hand gesture recognition
Researchers have explored the use of a single surface electromyography (sEMG) channel for hand gesture classification, aiming for more efficient and low-power systems. By extracting various time-domain and frequency-dom…
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LLMs translate sEMG signals into language for activity recognition
Researchers have developed a novel framework called LLM-sEMG that utilizes large language models (LLMs) for surface electromyography (sEMG) signal-based activity recognition. This approach converts continuous sEMG seque…