SHIOZAWA Tomoki
Department Aoyama Gakuin University Department of Business Administration, School of Business Position Professor |
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Language | English |
Publication Date | 2024/07 |
Type | |
Peer Review | Peer reviewed |
Invitation | Invited paper |
Title | Comparison of Radial Motions in the Young with Those in the Elderly While Viewing 3D Video Clips Using Artificial Intelligence |
Contribution Type | Collaboration |
Journal | Gerontology as an Interdisciplinary Science |
Journal Type | Another Country |
Publisher | Springer; 2024th edition (July 23, 2024) |
Volume, Issue, Page | pp.77-87 |
Total page number | 11 |
Authorship | Last author |
Author and coauthor | Yoshiki Itatu, Hiroki Takada, and Tomoki Shiozawa |
Details | It has been reported that motion sickness is not visually induced by the foveal vision but by the peripheral vision. As a side note, different findings in the radial motion were observed for each vision. The aim of this study is to classify two types of radial motion data measured while viewing 3D video clips during the foveal and the peripheral vision, respectively. Healthy subjects, composed of ten young males and six elderly persons, voluntarily participated in this study. We herein extracted about 2300 time series of these radial motions for each data size to tell the foveal vision from the peripheral vision by statistical machine learning. As a result, statistical significance was observed in the accuracy of the classification, which increased with the data size. The maximum value of the accuracy was obtained, where the data size was set to be 10 s. |