A5101872330- Hand Gesture Recognition Systems
- Gait Recognition and Analysis
- Advanced Sensor and Energy Harvesting Materials
- Robotics and Automated Systems
- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
North University of China
2023-2024
Abstract In the field of natural human–machine interaction, wearable gesture interaction technologies have received considerable attention, particularly continuous (CG) recognition. However, CG faces several challenges, including impact motion characteristics on recognition and performance that is not sufficiently robust. Traditional algorithms are highly dependent samples, thus meeting requirements low sample volume high accuracy simultaneously challenging. To address these we propose a...
For the gesture recognition system of electromyographic signals(EMGs), disadvantage low generalization ability algorithms limits its use among different users due to factors such as differences in human structure, types muscle fibers, and contact between sensors muscles. In this paper, a transfer learning strategy is proposed design train long-short-term recurrent neural network based on trained model feature extractor target network, selecting states gestures form source task, designing...