Real-Time Human Interface Driven by Eye Movement Event-Related Potential Pattern Recognition

Hideyasu Sumiya; Takuma Itoh

doi:10.4028/www.scientific.net/AMM.36.430

Paper Titles

Binocular Stereo Vision Based-Recognition of 3D Shapes in Life Space Employing Fuzzy Clustering-Based Modeling in Enlarged Dimension
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A SIFT Feature-Based Template Matching Method for Detecting and Counting Objects in Life Space
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Statistical Analysis and Psychological Evaluation of Surfaces under Various Illuminations
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Real-Time Human Interface Driven by Eye Movement Event-Related Potential Pattern Recognition
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Active Damping Using N4SID Model Referenced Predictive Anti-Phase Pitch Driving Method
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Object Tracking System by Pan-Tilt Cameras and Arm Robot Using Particle Filter
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Recovering Shape of a Specular Object in the Presence of Interreflection
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Evaluation of Surface Shape and Refractive Index of a Transparent Plate Based on Light Path Analysis
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 36Real-Time Human Interface Driven by Eye Movement...

Real-Time Human Interface Driven by Eye Movement Event-Related Potential Pattern Recognition

Abstract:

In recent, brain function field analysis attracts concentrated attention, especially on the significant study about BMI (Brain-machine Interface) using fMRi, NIR[1-5], EEG. However, it is known that there exists a problem for the use of an input support device with this serious problem on considerable time for extracting characteristic event related pattern from brain wave and for the large-scale and large-amount device itself such as the MRI equipment. This study aims at rapid BMI pattern recognition for the eye-ball movement, which is considered to be removed a factor from EEG as an artifact [6]. We investigated the repeatability of eye-ball movement Event Related scalp electroencephalogram Potential (ERP) and the characteristics, which possess steady, high voltage and 50ms prompt reaction. As the ERP pattern discriminator, this paper proposes 2 methods, ISE based Euclid Norm and linear mapped Euclid Norm methods.

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Periodical:

Applied Mechanics and Materials (Volume 36)

Pages:

430-435

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.36.430

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Online since:

October 2010

Authors:

Hideyasu Sumiya, Takuma Itoh

Keywords:

Event-Related Potential, Eye Drive Human Interface, Pattern Analysis

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References

[1] Kamitani, Y. Shimojo, S. Manifestation of scotomas　created by transcranial magnetic stimulation of hu-man visual cortex, Nature Neuroscience 2, 767-771 (1999).

DOI: 10.1038/11245

Google Scholar

[2] Kai J. Millera,　Marcel denNijsa, Pradeep Shenoyc, John W. Millerd, Rajesh P.N. Rao and Je_rey G. Ojemann, Real-time functional brain mapping using electrocorticography , (1997).

Google Scholar

[3] Yukiyasu Kamitani, Frank Tong, Decoding seen and attended motion directions from activity in the human visual cortex, Current Biology, 16, 1096-1102 (2006).

DOI: 10.1016/j.cub.2006.04.003

Google Scholar

[4] Yukiyasu Kamitani, Frank Tong, Decoding the visual and subjective contents of the human brain, Nature Neuroscience 8, 679 - 685 (2005).

DOI: 10.1038/nn1444

Google Scholar

[5] A. Maki, Y. Yamashita, Y. Ito, E. Watanabe, Y. Mayanagi, H. Koizumi, Spatial and temporal analysis of human motor activity using noninvasive NIR topography, Med. Phys., 22 (12) , Dec., (1995).

DOI: 10.1118/1.597496

Google Scholar

[6] Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson, R., Jr., Miller, G. A., Ritter, W., Ruchkin, D. S., Rugg,　M. D., Taylor, M. J. Guidelines for using human　event-related potentials to study cognition: Recording　standards and publication criteria. psychophysiology, 37,　127-152 (2000).

DOI: 10.1111/1469-8986.3720127

Google Scholar