NDLI: An implementation of multimodal Gaze Direction Recognition System using Image and EOG

Content Provider	IEEE Xplore Digital Library
Author	Sang-Hyeon Jin Kue-Bum Lee Kwang-Seok Hong
Copyright Year	2010
Description	Author affiliation: School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, Suwon, KyungKi-do, 440-746, Korea (Sang-Hyeon Jin; Kue-Bum Lee; Kwang-Seok Hong)
Abstract	There have been many recent studies on Gaze Direction Recognition System in the field of HCI (Human Computer Interaction). This system will be the most natural and intuitive HCI system due to the application of gaze direction or biomedical Signals. This paper proposes a multi-modal gaze direction recognition system using the nine directional gaze recognition based on Image and EOG signal recognition. In this paper, we use DFA (Deterministic Finite Accepter), Haar-like feature and SVM (Support Vector Machine) for gaze recognition based on the EOG signal and Image. The proposed multi-modal gaze direction recognition system solves the problem of constraint of single modal recognition systems. As a result, the proposed system achieves higher recognition performance.
Starting Page	229
Ending Page	234
File Size	1738860
Page Count	6
File Format	PDF
ISBN	9781424476077
e-ISBN	9788988678275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-16
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	AICIT
Subject Keyword	Electrooculography Humans
Content Type	Text
Resource Type	Article

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An implementation of multimodal Gaze Direction Recognition System using Image and EOG