Non-contact Eye-Glance Input Interface Using Video Camera

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  • Akehi Kota
    Graduate School of Informatics and Engineering, The University of Electro-Communications
  • Matuno Shogo
    Graduate School of Informatics and Engineering, The University of Electro-Communications
  • Itakura Naoaki
    Graduate School of Informatics and Engineering, The University of Electro-Communications
  • Mizuno Tota
    Graduate School of Informatics and Engineering, The University of Electro-Communications
  • Mito Kazuyuki
    Graduate School of Informatics and Engineering, The University of Electro-Communications

説明

In the past, many studies have been carried out on eye-gaze input; however, in this study, we developed an eye-glance input interface that tracks a combination of short eye movements. Unlike eye-gaze input that requires high accuracy measurements, eye-glance input can be detected with only a rough indication of the direction of the eye movements, making it possible to operate even terminals with small screens, such as smartphones. In this study, we used an inexpensive camera to measure eye movements and analyzed its output using the OpenCV, an open source computer vision and machine learning software library, to construct an inexpensive and non-contact interface. In a previous study, we developed an algorithm that detected eye-glance input through image analysis using OpenCV, and fed the result of the algorithm back to our subjects. In that study, the average detection rate for the eye-glance input was 76 %. However, we also observed several problems with the algorithm, particularly the problem of false detections due to blinking of the eyes, and implemented solutions for improvement. In this study, we have made improvement with respect to the unsatisfactory detection rate recorded in our previous study, and addressed problems related to user convenience.

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  • 信号処理

    信号処理 21 (4), 207-210, 2017

    信号処理学会

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