The Encoding Analysis of Brainwave for Direction Recognition

Abstract:

This research discusses about recognizing direction by brainwave characteristic frequency band in the digital coding mode. The experiences proceeded by catching brainwave signals of human vision while sensing the test interfaces of graphics and words representing direction by brainwave sensor. To compile the related samples of energies from brainwave frequency band and times of appearances, then establish the directions which stand for left-turn, right-turn, forward and backward of brainwave characteristics frequency band and its digital coding modes. Studies are to derive and analyze brainwave signals from testing interfaces of different color combinations of patterns and words, and after that build the digital coding combinations of brainwave characteristics frequency band. This research is to analyze and discuss every kind of brainwave frequency band characteristics while subjects recognize the directions; moreover, to confer the topics such as analyzing the influences of different designs of pattern and word testing interfaces made in brainwave of recognizing directions in the view of Cognitive Neuroscience as well as defining if testing interfaces of color designs effect the brain wave signals while judging directions from human vision.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 1661-1665
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.1661
• Online since: January 2013
• Authors: Fu Chien Kao, Shin Ping R. Wang, Chia Chun Hung, Chih Chia Chen, Jyun Yi Du
• Keywords: Brainwave, Cognitive Neuroscience, Direction Recognition

References

[1] M. W. Eysenck, M. T. Keane, Cognitive Psychology: A Student's Handbook, (1999).

[2] C. Holzner, C. Guger, G. Edlinger, Virtual Smart Home Controlled By Thoughts, 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises. (2009) 236-239.

DOI: 10.1109/wetice.2009.41

[3] H. J. Burgess, J. Trinder, Y. Kim & D. Luke, Sleep and circadian influences on cardiac autonomic nervous system activity, Am J. Physiol. 273 (1997) H1761-1768.

DOI: 10.1152/ajpheart.1997.273.4.h1761

[4] T.B. J, Kuo, C.J. Lai, F.Z. Shaw, C.W. Lai, C.C.H. Yang, Sleep-related sympathovagal imbalance in SHR, Am J. Physiol. 286 (2004) H1170-1176.

DOI: 10.1152/ajpheart.00418.2003

[5] J. G. Webster, Electroencephalography: Brain electrical activity, Encyclopedia of medical devices and instrumentation. 2 (1988) 1084-1107.

[6] F.C. Kao, J.H. Jhong, Analysis of Brainwave Characteristic Frequency Bands for Logic Reasoning, Applied Mechanics and Materials. 145 (2012) 470-474.

DOI: 10.4028/www.scientific.net/amm.145.470