Hand Gesture Recognition Using Electromyographic (EMG) Signals and Artificial Intelligence
General Objective: Develop new models for the recognition of 5 or more hand gestures using electromyographic (EMG) signals and artificial intelligence techniques with a high degree of classification and recognition accuracy and low computational cost in terms of processing time. Specific Objectives Participating Institutions: EPN, ESPE, UTA. Participants: Project Director Benalcázar Palacios […]