A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction
(2023)
Journal Article
Liu, Y., Li, X., Yang, L., Bian, G., & Yu, H. (2023). A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction. IEEE Transactions on Instrumentation and Measurement, 72, Article 2514816. https://doi.org/10.1109/tim.2023.3273
As a unique physiological electrical signal in the human body, surface electromyography (sEMG) signals always include human movement intention and muscle state. Through the collection of sEMG signals, different gestures can be effectively recognized.... Read More about A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction.