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Commanding Wheelchair in Virtual Reality with Thoughts by Multiclass BCI based on Movement-related Cortical Potentials
Author(s) -
Mei Lin Chen,
Lin Yao,
Ning Jiang
Publication year - 2016
Publication title -
journal of computational vision and imaging systems
Language(s) - English
Resource type - Journals
ISSN - 2562-0444
DOI - 10.15353/vsnl.v2i1.89
Subject(s) - brain–computer interface , wheelchair , virtual reality , interface (matter) , computer science , bridge (graph theory) , human–computer interaction , motor imagery , simulation , electroencephalography , psychology , neuroscience , medicine , bubble , maximum bubble pressure method , parallel computing , world wide web
Brain-driven wheelchair control is an attractive application in theBrain-Computer Interface (BCI) field. In this research, wedesigned and validated a virtual wheelchair navigation systemcontrolled by our latest multiclass BCI Menu interface based on afast brain switch, which provides five commands: move forward,turn left, turn right, move backward, and stop. Preliminary resultshave shown that subjects can successfully control the wheelchairto hit all targets in the immersive virtual reality (VR)environment. This system proves an avenue to bridge the gapbetween simulation control in VR environments and real-lifewheelchair applications for mobility impairment.

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