Fuzzy Classification of Hand's Motion

The goal of this work was to create the measurement circuit that would be able to measure and classify signal of myopotentials to classify specific gestures of hand.Realization of the system for classification of hand's gestures is described in this paper. Hardware prototype of four measuring channels was created by combination of 2nd order filters and right amount amplification. For digitizing the data, the Arduino Nano microcontroller was selected and programmed using defined communication protocol. The computer software is programmed in C# programming language. Signal processing and drawing to user interface is in real time. The one of five possible gestures that user made is chosen using fuzzy logic and designed system of scaling.