| Popis: |
The design of a robotic prosthetic hand, based on the control of myoelectric signals is a multidisciplinary task involving areas such as medicine, mechanics and electronics. The implementation of a robotic prosthetic hand could help restore the daily activities of people with amputation, improving their self-esteem and quality of life. This article is mainly focus on the development of a transradial prosthetic hand motion control system. The system uses myoelectric signals processing, for a series of preset gestures that are detected in real-time. Experimental tests of pattern recognition show that the signals have variable amplitudes and frequencies, for instance, the signal strength and the phenomenon of muscle fatigue vary depending on the subject. Hand movement recognition is achieved using EMG feature extraction technique such as Average Amplitude Change, Root Mean Square, Mean Absolute Value, among others. The actual results show that the implemented control system can be effective in performing six gestures or movements on a prototype robotic hand prosthesis. |
