A Mean Threshold Algorithm for Human Eye Blinking Detection Using EEG

  • T. Nguyen
  • T. H. Nguyen
  • K. Q. D. Truong
  • Toi Van Vo
Part of the IFMBE Proceedings book series (IFMBE, volume 49)

Abstract

A mean threshold algorithm was proposed to detect eye blinking using ElectroEncephaloGraphy (EEG) in this paper. Firstly, the activity of eye blinking related to the delta area of human brain was investigated using EEG technology. Before analyzing the EEG data, original data were smoothed to reduce noise or artifacts by a band-pass filter. Secondly, the proposed threshold method was applied to determine a threshold value which can be used to distinguish cases of eye blinking and opened eye. Moreover, the phenomenon of eye blinking can be useful for diagnosing eye diseases such as dry eye or congenital glaucoma. Experimental results showed that the proposed eye blinking threshold approach is the effectiveness.

Keywords

EEG signal eye blinking threshold value 

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Copyright information

© IFMBE 2013

Authors and Affiliations

  • T. Nguyen
    • 1
  • T. H. Nguyen
    • 2
  • K. Q. D. Truong
    • 2
  • Toi Van Vo
    • 2
  1. 1.Industrial Electronics DepartmentCao Thang Technical College, Ministry of Industry and TradeHo Chi Minh CityVietnam
  2. 2.Biomedical Engineering DepartmentInternational University, Vietnam National UniversityHo Chi Minh CityVietnam

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