2 papers
cs.RO2025
Attention-Based Convolutional Neural Network Model for Human Lower Limb Activity Recognition using sEMG
Mojtaba Mollahossein, Farshad Haghgoo Daryakenari, Mohammad Hossein Rohban +1
Accurate classification of lower limb movements using surface electromyography (sEMG) signals plays a crucial role in assistive robotics and rehabilitation systems. In this study,…
cs.RO2025
A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data
Farshad Haghgoo Daryakenari, Tara Farizeh
This study presents a transformer-based deep learning framework for the long-horizon prediction of full lower-limb joint angles and joint moments using surface electromyography (sE…