Paper
6 May 2019 Character input system based on gaze input using wearable camera
Author Affiliations +
Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 1106930 (2019) https://doi.org/10.1117/12.2524411
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Warapon Chinsatit, Nagisa Kondo, and Takeshi Saitoh "Character input system based on gaze input using wearable camera", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106930 (6 May 2019); https://doi.org/10.1117/12.2524411
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KEYWORDS
Cameras

Eye

Image processing

Data modeling

Optical character recognition

Infrared cameras

Convolutional neural networks

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