Abstract
The purpose of this paper is to clarify the brain activities of human beings engaged in their tasks. Response time, correctness ratios, and Event Related Potentials (ERPs) are useful indexes of the brain activities of a subject at his task in the experiments. We analyze these indexes by a method called the Principle Component Analysis. Then we characterize the brain activities while he is engaged in the task. Finally we discuss the effectiveness of feedback control in a HCI system using these indexes.
Chapter PDF
Similar content being viewed by others
References
Davis, H., Davis, P.A., Loomis, L., et al.: Electrical reaction of the brain to auditory stimulation during sleep. J. Neurophysiol. 2, 500–514 (1939)
Dawson, G.: Cerebral responses to electrical stimulation of peripheral nerve in man. J. Neurol Neurosurg Psychiat. 10, 137–140 (1947)
Funada, M.F.: An Object-oriented Filtering Method for Measuring Event. The Hakuoh Graduate School Business Review 5, 93–109 (2005)
Luck, S.J.: An Introduction Event-Related Potential Technique. The MIT Press, Cambridge (2005)
Ookuma, T.: Clinical Electroencephalography, Igakusyoin (1999) (in Japanese)
Picton, T.W., et al.: Guideline for using human event-related potentials to study cognition: recording standards and publication criteria. Psychophysiology 37, 128–152 (2000)
Tanba, S., Turu, N.: Event Related Potential, Sinkouigaku-syppansya (1997) (in Japanese)
Turu, N.: Electroencephalography and Analysis of Electroencephalogram, Sinkouigaku-syppansya (2000) (in Japanese)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Funada, M., Shibukawa, M., Igarashi, Y., Shimizu, T., Funada, T., Ninomija, S.P. (2009). The Effectiveness of Feedback Control in a HCI System Using Biological Features of Human Beings. In: Schmorrow, D.D., Estabrooke, I.V., Grootjen, M. (eds) Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience. FAC 2009. Lecture Notes in Computer Science(), vol 5638. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02812-0_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-02812-0_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02811-3
Online ISBN: 978-3-642-02812-0
eBook Packages: Computer ScienceComputer Science (R0)