Comparative Analysis of the Results of EMG Signal Classification Based on Machine Learning Algorithms
Adilbek TurgunovInformation technology, Karshi branch of the Tashkent University of Information Technologies named after Mahammad al-Khwarizmi, Karshi, UzbekistanKudratjon ZohirovComputer Systems, Tashkent University of Information Technologies named after Mahammad al-Khwarizmi, Tashkent, UzbekistanRashid NasimovComputer Systems, Tashkent University of Information Technologies named after Mahammad al-Khwarizmi, Tashkent, UzbekistanSanjar MirzakhalilovComputer Systems, Tashkent University of Information Technologies named after Mahammad al-Khwarizmi, Tashkent, Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
Abstract
In this paper has been provided information on the structure, modules and features of the hardware and software complex for classifying hand movements. The hardware-software complex is based on a modern BITalino device. The main idea of the paper is to classify more hand movements using fewer sensors. In the future, it will be possible to produce cheap and easy-to-use myoprostheses based on the scientific results presented in this paper.