Design and Research of Biological Information Based on the Signal Extraction Algorithm

Abstract:

This article will extracte biological EEG information, extracted by EEG brain-computer interaction module. It has taken advantage of brain-computer interaction techniques, accurately extracted EEG data, modeling the data, analyzed EEG law, and the signal is used in Bluetooth smart car.The human brain with computers and external communications equipment that can detect and record brain activity by brain-computer interaction technology and brain signals. Brain waves are turned into a language that the computer can understand, so as to effectively control the vehicle, or other external devices.

• Periodical: Applied Mechanics and Materials (Volumes 599-601)
• Pages: 1297-1300
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.599-601.1297
• Online since: August 2014
• Authors: Yuan Yu*, Quan Bo Yuan, Xu Li
• Keywords: Brain Machine, EEG, EEG Bio-Information Interaction, Human Machine Interface

References

[1] Middendorf M, Mcmillan G, et al. Brain-computer interfaces based on the steady-state visual evoked response. [J]. IEEE Trans Rehab Eng, 2000, 8 (2) : 211-214.

DOI: 10.1109/86.847819

[2] Steven G. Mason, Gary E. Birch. A Ge neral Framework for Brain-Computer Interface Design. [J]. IEEE Trans. Neural. Syst. Eng, 2003, 11 (1) : 70-85.

DOI: 10.1109/tnsre.2003.810426

[3] Wuxiao Pei , independent component analysis and its application in EEG processing applications [D]. PhD thesis Ann Emblem : University of Science and Technology of China , (2002).

[4] J R Wolpaw, N Birbaumer, D J McFarland. Brain-Computer interface for communicationandcontrol [J]. ClinicalNeurophysiology, 2002. 113 (6) : 761-791.

[5] Guo policy , Dai Zhendong , Sun J R. et . Research Status and Future Development of biological robots . Robots. 2005 ( 2 ) : 187 -192.