Motion estimation Archives - Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

September 13, 2024

Recurrent Neural Network Enabled Continuous Motion Estimation of Lower Limb Joints From Incomplete sEMG Signals

Recurrent Neural Network Enabled Continuous Motion Estimation of Lower Limb Joints From Incomplete sEMG Signals https://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png September 13, 2024 September 13, 2024

Decoding continuous human motion from surface electromyography (sEMG) in advance is crucial for improving the intelligence of exoskeleton robots. However, incomplete sEMG signals are prevalent on account of unstable data… read more

September 11, 2024

Performance of a Novel Muscle Synergy Approach for Continuous Motion Estimation on Untrained Motion

Performance of a Novel Muscle Synergy Approach for Continuous Motion Estimation on Untrained Motion https://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png September 11, 2024 September 11, 2024

When applying continuous motion estimation (CME) model based on sEMG to human-robot system, it is inevitable to encounter scenarios in which the motions performed by the user are different from… read more