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Proceedings Paper

Character input system based on gaze input using wearable camera
Author(s): Warapon Chinsatit; Nagisa Kondo; Takeshi Saitoh
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Paper Abstract

This research presents the character input system by using wearable camera based gaze estimation system (GES) for disorders. The GES is the system that can estimate the user's gaze direction. The proposed system uses the inside-out camera to get the user's gaze image. This system uses the gaze image to classify the character and create the word. Proposed system consists of two processes: Gazes estimation process and character recognition process. This research uses the Convolutional Neural Network (CNN) method to archive the good accuracy. By using the proposed method to train the model, the system was confirmed through evaluation experiments. The experimental results show the good accuracy of the proposed system compared with the previous research.

Paper Details

Date Published: 6 May 2019
PDF: 6 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106930 (6 May 2019); doi: 10.1117/12.2524411
Show Author Affiliations
Warapon Chinsatit, Kyushu Institute of Technology (Japan)
Nagisa Kondo, Kyushu Institute of Technology (Japan)
Takeshi Saitoh, Kyushu Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

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