• Title/Summary/Keyword: EOG

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A Study on the Adaptive Technique for Artifact Cancelling in Electroencephalogram Analysis System (뇌파 분석 시스템에서의 Artifact 제거를 위한 적응 기법에 관한 연구)

  • 유선국;김기만;남기현
    • Journal of Biomedical Engineering Research
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    • v.18 no.4
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    • pp.389-396
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    • 1997
  • Several types of electrical artifact seen on electroencephalogram( EEG) records are described. Those are the EOG and the PVC roller pump noise, and so on. An adaptive digital filtering of the electroencephalogram( EEG) is a successful way of suppressing mains interference, but it affects some of the frequency components of the signal, whore artifacts may not be acceptable in some cafes of automatic EEG processing. Thus we studied the method for cancelling these artifacts. This proposed method does not use the reference channel, and is realized by connecting the linear predictor and the fixed FIR filter for the EOG artifact, and by cascading the linear predictor and the noise canceller for the pump artifact. The simulation results illustrate the performances of the proposed method in terms of the capability of interferences suppression. In the results we obtained about 20 dB noise reduction.

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Gaze Tracking with Low-cost EOG Measuring Device (저가형 EOG 계측장치를 이용한 시선추적)

  • Jang, Seung-Tae;Lee, Jung-Hwan;Jang, Jae-Young;Chang, Won-Du
    • Journal of the Korea Convergence Society
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    • v.9 no.11
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    • pp.53-60
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    • 2018
  • This paper describes the experiments of gaze tracking utilizing a low-cost electrooculogram measuring device. The goal of the experiments is to verify whether the low-cost device can be used for a complicated human-computer interaction tool, such as the eye-writing. Two experiments are conducted for this goal: a simple gaze tracking of four directional eye-movements, and eye-writing-which is to draw letters or shapes in a virtual space. Eye-written alphabets were obtained by two PSL-iEOGs and an Arduino Uno; they were classified by dynamic positional warping after preprocessed by a wavelet function. The results show that the expected recognition accuracy of the four-directional recognition is close to 90% when noises are controlled, and the similar median accuracy (90.00%) was achieved for the eye-writing when the number of writing patterns are limited to five. In future works, additional algorithms for stabilizing the signal need to be developed.

Project Management for Distributed Engineering Collaboration

  • Lee, Tae-Eog;Seo, Jeong-Won;Kim, Ja-Hee;Jeong, Seok-Chan
    • Proceedings of the CALSEC Conference
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    • 1998.10b
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    • pp.375-389
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    • 1998
  • o Projects/Subprojects/Tasks Distributed over Teams, Departments, Enterprises and the Globe o Virtual Teaming/Enterprises o Limitations/Barriers on Distributed Work - Geographical - Communication(omitted)

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