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Open AccessArticle

Touch-Typing Detection Using Eyewear: Toward Realizing a New Interaction for Typing Applications

Department of Information Science, Faculty of Engineering, University of Fukui, Fukui 910-8507, Japan
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A preliminary version of this paper was presented at the IEEE International Conference on System, Man, and Cybernetics 2018, which was held in Miyazaki, Japan, 7–10 October 2018.
Sensors 2019, 19(9), 2022; https://doi.org/10.3390/s19092022
Received: 18 March 2019 / Revised: 25 April 2019 / Accepted: 28 April 2019 / Published: 30 April 2019
(This article belongs to the Special Issue Advanced Sensors Technology in Education)
Typing skills are important in the digital information society of this generation. As a method to improve typing speed, in this study, we focused on the training of touch typing that enables typing a key without looking at the keyboard. For support of touch-typing training, it is efficient to apply a penalty if a learner looks at the keyboard; however, to realize the penalty method, the computer needs to be able to recognize whether the learner looked at the keyboard. We, therefore, proposed a method to detect a learner’s eye gaze, namely, using eyewear to detect whether the learner looked at the keyboard, and then evaluating the detection accuracy of our proposed method. We examined the necessity for our system by analyzing the relationship between a learner’s eye gaze and touch-typing skills. View Full-Text
Keywords: touch-typing; JINS MEME; touch-typing skills estimation touch-typing; JINS MEME; touch-typing skills estimation
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Hasegawa, T.; Hatakenaka, T. Touch-Typing Detection Using Eyewear: Toward Realizing a New Interaction for Typing Applications. Sensors 2019, 19, 2022.

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