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EMG and visual based HMI for hands-free control of an intelligent wheelchair

Wei, Lai and Hu, Huosheng (2010) EMG and visual based HMI for hands-free control of an intelligent wheelchair. In: 2010 8th World Congress on Intelligent Control and Automation (WCICA 2010), 2010-07-07 - 2010-07-09.

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Abstract

This paper presents a new human-machine interaction (HMI) method designed for hands-free control of electric wheelchairs. Both forehead electromyography (EMG) signals and color face image information is jointly used to identify winking and jaw clenching movements. Five winking and jaw clenching movement patterns are selected and classified, mapping into five control commands to drive a simulated wheelchair in an office environment. Six subjects participated in the experiments and the result shows that this new control method can work well and reliably. © 2010 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Uncontrolled Keywords: Wheelchair Controller; Face Detection; Eye Close Detection; Boosting; Adaboost; Haar Features; EMG; SVMs
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 17 Dec 2014 11:20
Last Modified: 23 Sep 2022 18:44
URI: http://repository.essex.ac.uk/id/eprint/9081

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