Master's Thesis at the University of Basrah Explores Hand Gesture Recognition Using Muscle Signals
A master's thesis at the College of Engineering, University of Basrah, explored hand gesture recognition using muscle signals and deep learning techniques.
The thesis, submitted by student Dhuha Mahlal Ajimi, aims to highlight the promising field of hand gesture recognition using muscle signals, given its applications in intelligent control of prosthetic hands and human-machine interaction systems.
The thesis comprised four chapters in which the student discussed the use of two signal analysis methods and the extraction of discriminative features from HD-SEMG signals prior to the classification stage.
Department of Media and Government Communication
