@inproceedings{1c55cab151dc4432af62c91ba2bec4b0,
title = "Human-computer interaction system design based on surface EMG signals",
abstract = "Surface electromyography signals (SEMG) aquisition is a kind of multi-channel non-invasive detection method. In this paper, we designed a human-computer interaction system based on the multi-channel SEMG of hand motions. The system detects the forearm muscle multi-channel SEMG, the AR model is established to extract the signal eigenvalue and the artificial neural network classifier (BP) is utilized to distinguish the four different gestures that the results of pattern recognition are applied as the quad copter control signals. At last, the results of pattern recognition are used as control signal of aircraft to complete real-time interactive process.",
keywords = "AR model, human-computer interaction, surface EMG",
author = "Han Li and Xi Chen and Pengfei Li",
note = "Publisher Copyright: {\textcopyright} 2014 Swinburne University of Technology, Australia.; 6th International Conference on Modelling, Identification and Control, ICMIC 2014 ; Conference date: 03-12-2014 Through 05-12-2014",
year = "2015",
month = jan,
day = "23",
doi = "10.1109/ICMIC.2014.7020734",
language = "English",
series = "Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "94--98",
booktitle = "Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014",
address = "United States",
}