A5092437328- Muscle activation and electromyography studies
- Advanced Sensor and Energy Harvesting Materials
- Hand Gesture Recognition Systems
- EEG and Brain-Computer Interfaces
- Stroke Rehabilitation and Recovery
- Brain Tumor Detection and Classification
- Neuroscience and Neural Engineering
- Gaze Tracking and Assistive Technology
Shenzhen Institutes of Advanced Technology
2023-2024
Chinese Academy of Sciences
2023-2024
University of Chinese Academy of Sciences
2023-2024
Shenzhen Academy of Robotics
2024
University Town of Shenzhen
2023
Shenzhen University
2023
Abstract Objective. Surface electromyography pattern recognition (sEMG-PR) is considered as a promising control method for human-machine interaction systems. However, the performance of trained classifier would greatly degrade novel users since sEMG signals are user-dependent and largely affected by number individual factors such quantity subcutaneous fat skin impedance. Approach. To solve this issue, we proposed unsupervised cross-individual motion that aligned features from different...
A major barrier to the commercialization of pattern recognition (PR)-based myoelectric prostheses is lack robustness confounding factors such as electrode shift which has been lingering for years. To overcome this challenge, a novel Duo-Stage Convolutional Neural Network (DS-CNN) proposed. The DS-CNN comprised two cascaded stages in first stage deciphers occurrence particular kind upon requisite CNN model triggered second accurate decoding individual motion intent, necessary initiating...
Intelligent rehabilitation robotics (RR) have been proposed in recent years to aid post-stroke survivors recover their lost limb functions. However, a large proportion of these robotic systems operate passive mode that restricts users predefined trajectories rarely align with intended movements, precluding full functional recovery. To address this issue, an efficient Transfer Learning based Convolutional Neural Network (TL-CNN) model is decode patients' motion intentions toward realizing...