GEGLU-Transformer reconstructs EMG signals from IMU data with r=0.706 cross-subject and improves to r=0.761 after minimal adaptation under leave-one-subject-out testing.
Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GEGLU-Transformer for IMU-to-EMG Estimation with Few-Shot Adaptation
GEGLU-Transformer reconstructs EMG signals from IMU data with r=0.706 cross-subject and improves to r=0.761 after minimal adaptation under leave-one-subject-out testing.