The Virtual Reality Brain-Computer Interface System for Ubiquitous Home Control

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This paper presents a virtual reality brain computer interface (BCI) system which allows the user to interact physical objects in the ubiquitous home. The system is designed for motion disabled people to control real home facilities by a simple motor imagery and minimal physical body movements. While BCI research has mostly focused on improving classification algorithm, our BCI system uses a simple BCI classification method and the additional locking mechanism to compensate the BCI classification error. This paper describes the design, implementation, and user evaluation of our virtual reality BCI system for ubiquitous home control. The user study results showed the locking mechanism helped to improve user controllability which made the system more feasible and reduced user undesired BCI decision error rates.
Publisher
Springer
Issue Date
2006-12
Language
English
Citation

19th Australian Joint Conference on Artificial Intelligence, Hobart, Australia, pp.992 - 996

URI
http://hdl.handle.net/10203/15409
Appears in Collection
EE-Conference Papers(학술회의논문)
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