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Detecting Human Emotions by Brain Wave Signal Essay

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European Journal of Scientific Research ISSN 1450-216X Vol.44 No.4 (2010), pp.640-659 © EuroJournals Publishing, Inc. 2010 http://www.eurojournals.com/ejsr.htm

Human Emotions Detection using Brain Wave Signals: A Challenging
Ali S. AlMejrad Biomedical Technology Department, College of Applied Medical Sciences King Saud University, P.O.Box 10219, Riyadh 11433, Kingdom Saudi Arabia E-mail: amejrad@ksu.edu.sa Abstract This paper discusses the issues and challenges of research project that was designed to assess the different human emotions through Electroencephalogram (EEG). This work led to the development of real time system for human emotion detection through EEG, and has been the benchmark for continuing international study. EEG measurement is noninvasive and inexpensive, have a very high sensitivity to receive information about the internal (endogenous) changes of brain state, and offer a very high time resolution in the millisecond range. Because of the latter property, these data are particularly suited for studies on brain mechanisms of cognitive-emotional information processing which occurs in the millisecond range. It has been well known that specific cortical and sub-cortical brain system is utilized and have been differentiated by regional electrical activities according to the associated emotional states. There are important challenges have to be faced for developing efficient EEG signals emotion recognition such as (i) designing a protocol to stimulate unique emotion than multiple emotions (ii) develop a efficient algorithm for removing noises and artifacts from the EEG signal (iii) utilize the suitable and efficient artificial intelligence technique to classify the emotions. In addition, emotional activities of the brain causes difference EEG characteristics waves, it has been attempted to investigate the brain activity related to emotion through analyzing EEG. Keywords: Electroencephalogram (EEG), Wavelet Transform (WT), Brain Computer Interface...

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