Adaptation models

a Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition
a Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Surface electromyography (sEMG) is a promising technology for hand gesture recognition, yet faces challenges in user mobility and individual calibration. This paper introduces a novel dual-model adaptive continuous learning (DM-ACL)… read more

Decoding a Cognitive Performance State from Behavioral Data in the Presence of Auditory Stimuli
Decoding a Cognitive Performance State from Behavioral Data in the Presence of Auditory Stimuli 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Objective: Cognitive performance state is an unobserved state that refers to the overall performance of cognitive functions. Deriving an informative observation vector as well as the adaptive model and decoder… read more

Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data
Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Machine learning and deep learning advancements have boosted Brain-Computer Interface (BCI) performance, but their wide-scale applicability is limited due to factors like individual health, hardware variations, and cultural differences affecting… read more

An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm
An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Modeling the muscle response to functional electrical stimulation (FES) is an important step during model-based FES control system design. The Hammerstein structure is widely used in simulating this nonlinear biomechanical… read more
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