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A Human-Computer Interface based on Electromyography Command-Proportional Control

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Lobov, S. and Krilova, N. and Kastalskiy, I. and Kazantsev, V. and Makarov, Valeri A. (2016) A Human-Computer Interface based on Electromyography Command-Proportional Control. In Proceedings of the 4th International Congress on Neurotechnology, Electronics and Informatics. Scitepress, Portugal, pp. 57-64. ISBN 978-989-758-204-2

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Official URL: http://dx.doi.org/10.5220/0006033300570064


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Abstract

Surface electromyographic (sEMG) signals represent a superposition of the motor unit action potentials that can be recorded by electrodes placed on the skin. Here we explore the use of an easy wearable sEMG bracelet for a remote interaction with a computer by means of hand gestures. We propose a human-computer interface that allows simulating “mouse” clicks by separate gestures and provides proportional control with two degrees of freedom for flexible movement of a cursor on a computer screen. We use an artificial neural network (ANN) for processing sEMG signals and gesture recognition both for mouse clicks and gradual cursor movements. At the beginning the ANN goes through an optimized supervised learning using either rigid or fuzzy class separation. In both cases the learning is fast enough and requires neither special measurement devices nor specific knowledge from the end-user. Thus, the approach enables building of low-budget user-friendly sEMG solutions.


Item Type:Book Section
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4th International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX)

Uncontrolled Keywords:Electromyography; Human-Computer Interface; Pattern Classification; Artificial Neural Networks.
Subjects:Sciences > Computer science > Artificial intelligence
ID Code:41159
Deposited On:08 Feb 2017 12:14
Last Modified:12 Dec 2018 15:06

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