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Zhendong Mu
Jiangxi University of Technology

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Vigilance Degree Computing Based on EEG Zhenzhong Zhan; Zhendong Mu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In daily life, lots of work need people maintain higher attention or vigilance. In the early study of vigilance, blink frequency, the impedance of skin, body temperature and blood pressure and other physiological signals was used to estimate the vigilance. EEG signal can more directly reflect the brain's activity than other physiological signals, and EEG signal have a higher time resolution. In this paper, ERP component and different frequencies of EEG were used to analyze the alert state, according to this study, in the ERP components, N170 can be a good representation of the degree of fatigue of the subject; Through the 10 subjects EEG frequency distribution analysis, and according to the formula defined in this paper, the vigilance degree of this ten subjects was calculated. DOI:  http://dx.doi.org/10.11591/telkomnika.v11i9.3298  
Small Price Index of College Students Based on EEG ShuLi Huang; ZhenDong Mu; HuaLiang Wu; HuaBo Xiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Study of consumer psychology and consumer price index usually used questionnaire method; this method is very good at solving the macro problem, however, to specific numerical value index, used questionnaire method is difficult to determine, and there is always a certain doubt about the correctness of the results what used questionnaire method. Because of EEG can be true reflection of the true psychological characteristics of the subjects, the paper selects EEG analysis tool as the consumer price index. Subjects tested with the different combination of the different quantity of money, processed and analysis this three sets of subjects EEG data, by analyzing the time and amplitude of the N170 and P300 to study college students in the daily life of the small consumer index. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3299
Co-Authors HuaBo Xiao HuaLiang Wu ShuLi Huang Zhenzhong Zhan