@inproceedings{c0f42263a38c4853b51a1ea302e2bec2,
title = "MusicTongue: A Tongue-Training Exergame Design for the Older Adults",
abstract = "Swallowing ability declines with aging, which may cause problems such as choking in eating and difficulty in oral expression, reducing the quality of older adult's life. This study collaborated with medical experts and older adults to develop an oral-training exergame app - MusicTongue. The game design is similar to {"}Taiko no Tatsujin.{"}Players can follow the music song they love and train the tongue with music beats. The game can recognize the player's movements through the Front-facing camera. After the game is finished, the game will show the training record. In the final iteration, we found that most elders can operate the game smoothly, leading to a greater willingness to perform oral-training exercises.",
keywords = "Exergame, Human-Centered Design, Image-Recognition, Tongue-Training",
author = "Huang, {Chia Hsu} and Wu, {Ko Chiu} and Chou, {Kuei Ru}",
note = "Funding Information: The work is supported by the Joint Research Program Funding Sponsorship of the University System of Taipei under Grant Number USTP-NTUT-TMU-110-03. JIRB of the Office for Human Research, Taipei Medical University, has approved the research process under case number N202109022. Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022 ; Conference date: 30-04-2022 Through 05-05-2022",
year = "2022",
month = apr,
day = "27",
doi = "10.1145/3491101.3516488",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery (ACM)",
booktitle = "CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems",
address = "United States",
}