Detection of the human-activity using the FCM

Junko Murakami, Shin Ichi Ito, Yasue Mitsukura, Jianting Cao, Minoru Fukumi

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this paper, we propose the detection system of the human activity by using the electroencephalograms (EEG). First, we measure the EEG data for subjects. In most of all conventional studies, the EEG having a lot of sensors is used. Therefore, subjects must eat or smoke while using the EEG interface. However, this situation is not practical for subjects. In this study, taking account of the burden of subjects, we use only one measurement point 'FP1'. First, we measure the EEG data and the EMG data for subjects. Then, the EEG feature is extracted by using the singular value decomposition (SVD). From the result, we classify the EEG pattern by the fuzzy C-means(FCM). If we cannot classify the EEG pattern into each activity, the discriminant analysis (DA) is used. We consider the EEG features of activities. Then, in order to show the effectiveness of the proposed method, computer simulations are done.

本文言語English
ホスト出版物のタイトルICCAS 2007 - International Conference on Control, Automation and Systems
ページ1883-1887
ページ数5
DOI
出版ステータスPublished - 2007 12 1
外部発表はい
イベントInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
継続期間: 2007 10 172007 10 20

出版物シリーズ

名前ICCAS 2007 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2007
CountryKorea, Republic of
CitySeoul
Period07/10/1707/10/20

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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