Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 14; p. 3170
• Main Authors: Zhang, Zhen, Yang, Kuo, Qian, Jinwu, Zhang, Lunwei
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.07.2019; MDPI
• Subjects: Accuracy; Adult; Algorithms; Artificial intelligence; artificial neural network; Biosensing Techniques; Classification; Electromyography; Engineering; Female; gesture recognition; Gestures; Hand - physiology; Humans; International conferences; Machine learning; Male; Neural networks; Neural Networks, Computer; Pattern recognition; Pattern Recognition, Automated; real-time; Researchers; Sensors; Signal processing; Signal Processing, Computer-Assisted; surface electromyography; United States > US; China; artificial neural network; gesture recognition; real-time; surface electromyography

In recent years, surface electromyography (sEMG) signals have been increasingly used in pattern recognition and rehabilitation. In this paper, a real-time hand gesture recognition model using sEMG is proposed. We use an armband to acquire sEMG signals and apply a sliding window approach to segment t...