摘要：AbstractThis study addresses the development of a testing system for pattern-recognition-based strategies of myoelectric control. This text describes the structure and components of the proposed system, as well as a process of its testing. The latter included an acquisition of an accompanying EMG, using Myo™ armband by Thalmic Labs Inc.™, for six different gestures (classes) from seven subjects, as well as its processing, feature extraction, training the classifier and further real-time validation. The results show that system provides acceptable classification rates.
