Myoelectric control of robotic arm

• Main Author: Στρατάκης, Κωνσταντίνος
• Other Authors: Δερματάς, Ευάγγελος
• Format: Thesis
• Language: English
• Published: 2019
• Subjects: Electromyography (EMG) signals; Support-vector machines (SVM); Robotic arms; Ηλεκτρομυογραφικά σήματα; Ρομποτικοί βραχιόνες; 629.893 3

This diploma thesis investigates the possibility of real time of a robotic arm with EMG signal. The signal comes from the user performing static hand gestures. The signal is obtained with a custom built analog circuit that amplifies and filters it. Then the signal is sampled with a microprocessor. After proper processing data sets are created for pattern recognition. A Support Vector Μachine is trained to recognize the gestures. Based on the gesture a corresponding command is sent to a robotic arm.