• Comput Math Methods Med · Jan 2016

    Basic Hand Gestures Classification Based on Surface Electromyography.

    • Aleksander Palkowski and Grzegorz Redlarski.
    • Department of Mechatronics and High Voltage Engineering, Gdańsk University of Technology, Ulica G. Narutowicza 11/12, 80-233 Gdańsk, Poland.
    • Comput Math Methods Med. 2016 Jan 1; 2016: 6481282.

    AbstractThis paper presents an innovative classification system for hand gestures using 2-channel surface electromyography analysis. The system developed uses the Support Vector Machine classifier, for which the kernel function and parameter optimisation are conducted additionally by the Cuckoo Search swarm algorithm. The system developed is compared with standard Support Vector Machine classifiers with various kernel functions. The average classification rate of 98.12% has been achieved for the proposed method.

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