tailieunhanh - EEG features extraction for classification of human intention and non-intention
This study is to classify brain’s state Intention and Non-Intention base on only one channel of the Electroencephalogram (EEG) signal, then apply results to real world’s problem. Because the brain signal is much different between different people, this article only discusses personal EEG data. First, data is recorded by EEG-SMT device of Olimex Ltd. | Journal of Science & Technology 123 (2017) 059-064 EEG Features Extraction for Classification of Human Intention and Non-Intention Phan Duy Hung1*, Vu Minh Thang1, Vu Thu Diep2 FPT University, Hoa Lac High Tech Park, Hanoi, Viet Nam Hanoi University of Science and Technology, No. 1, Dai Co Viet, Hai Ba Trung, Hanoi, Viet Nam Received: July 20, 2017; Accepted: November 03, 2017 1 2 Abstract This study is to classify brain’s state Intention and Non-Intention base on only one channel of the Electroencephalogram (EEG) signal, then apply results to real world’s problem. Because the brain signal is much different between different people, this article only discusses personal EEG data. First, data is recorded by EEG-SMT device of Olimex Ltd. Then we extracted features from collected EEG data and used the ANOVA tool to evaluate significant of them. Multilayer Neutral Network is used for the training process. The accuracy is normally above 90% for each subject by using proposed features. Finally, a method of smoothing real-time results is developed to improve training results and to play simple computer games. Keywords: EEG, Intention, Non-Intention 1. Introduction 1 Many experiments require the subjects to try to keep eye state always open or close in recording EEG process. In the research carried out by Zouhir B. et al., 2014 [5], the involved subject is asked to keep the eye open for about eight-seconds-long. During the Research work carried out by Liu Y. et al., 2010 [6], it requires subjects to keep eyes closed during experiment sessions. This requirement can help to avoid muscle movement and eye blinking artifact, but it is impossible when applying the above mention requirement to the real world application. In recent years, EEG study has been experiencing a rapid development and has a wide range of application in real life [1-5]. The EEG has some advantages: it’s high speed, non-invasive and causes no pain to the human subject. Moreover, low cost and .
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