Abstract
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.
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References
Pfurtscheller, G., Newper, C.: Motor Imagery and Direct Brain-Computer Communication. Proceedings of the IEEE 89(7) (2001)
Leeb, R., Scherer, R., Lee, F., Bischof, H., Pfurtscheller, G.: Navigation in Virtual Environments through Motor Imagery. In: Proc. of 9th Computer Vision Winter Workshop, pp. 99–108
Kamousi, B., Liu, Z., He, B.: Classification of Motor Imagery Tasks for Brain-Computer Interface Applications by Means of Two Equivalent Dipoles Analysis. IEEE Transactions on Neural System and Rehabilitation Engineering 13(2) (2005)
Pape, D., Anstey, J., Dolinsky, M., Dambik, E.J.: Ygdrasil–a framework for composing shared virtual worlds. Future Generation Computer Systems 19(6), 141–149 (2003)
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© 2006 Springer-Verlag Berlin Heidelberg
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Cho, Hs., Goo, J., Suh, D., Park, K.S., Hahn, M. (2006). The Virtual Reality Brain-Computer Interface System for Ubiquitous Home Control. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_110
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DOI: https://doi.org/10.1007/11941439_110
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49787-5
Online ISBN: 978-3-540-49788-2
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