@inproceedings{1462c22743df4f13901e69d809631012,
title = "A Training System for Swallowing Ability by Visualizing the Throat Position",
abstract = "Our ability to swallow tends to decrease as we grow older. One reason for this is dysphagia, a condition that makes it difficult to swallow food well and causes malnutrition or food aspiration in severe cases. Therefore, preventing dysphagia is important in terms of maintaining quality of life. One way to prevent dysphagia is by using a throat raising exercise whereby we train our own throat muscles by consciously moving the throat. However, throat raising can be difficult because it is hard to see the motion of our own throat. In this work, we developed a system that helps users to move their own throat consciously. We designed a wearable device to visualize larynx position and a game to enhance user motivation. The proposed device measures the distance between skin surface and photo-reflective sensors and estimates the position of the larynx by means of a support vector machine. Experimental results showed that our proposed system can accurately estimate throat motion and that four out of five participants improved their ability to keep their throat in a high position for a long time by playing our proposed game. In future work, we will consider a system that can improve not only the muscle strength of the throat but also the comprehensive swallowing function.",
keywords = "Exercise, Gamification, Wearable sensor",
author = "Nagisa Matsumoto and Chihiro Suzuki and Koji Fujita and Yuta Sugiura",
note = "Funding Information: Acknowledgments. This work was supported by JST AIP-PRISM JPMJCR18Y2 and JST PRESTO JPMJPR17J4. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 10th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 ; Conference date: 26-07-2019 Through 31-07-2019",
year = "2019",
doi = "10.1007/978-3-030-22219-2_37",
language = "English",
isbn = "9783030222185",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "501--511",
editor = "Duffy, {Vincent G.}",
booktitle = "Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications - 10th International Conference, DHM 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings",
}