Control of the electric wheelchair using EEG classification

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eeict2015-234-maly.pdf(574.89 KB)
Date
2015
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
Electric wheelchairs are some of the most important devices to assist physically handicapped persons. This paper presents the concept of brain controlled electric wheelchair designed for people who are not able to use other interfaces such as a hand joystick, and in particular for patients suffering from amyotrophic lateral sclerosis (ALS). The objective is to control the direction of an electric wheelchair using noninvasive scalp electroencephalogram (EEG).
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Keywords
BCI-controlled wheelchair, Brain-computer interface, BCI, Electric wheelchair, Electroencephalography, EEG, Sensorimotor rhythms, SMR, Shared control, Robotics, Robot
Citation
Proceedings of the 21st Conference STUDENT EEICT 2015. s. 234-236. ISBN 978-80-214-5148-3
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/42986
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