05月24日(Wed) 13:50〜15:30 J会場(ウインクあいち-10F 1001会議室)
| 演題番号 | 2J2-OS-16a-5 |
|---|---|
| 題目 | Sleep Pattern Visualization via Clustering on Sound Data |
| 著者 | WU HONGLE(大阪大学 産業科学研究所) 加藤 隆史(大阪大学大学院歯学研究科) 山田 朋美(大阪大学大学院歯学研究科) 沼尾 正行(大阪大学 産業科学研究所) 福井 健一(大阪大学 産業科学研究所) |
| 時間 | 05月24日(Wed) 15:10〜15:30 |
| 概要 | The quality of a good sleep is important for a healthy life. Recently, several sleep analysis products have emerged on the market; however, many of them require additional hardware or there is a lack of scientific evidence regarding their clinical efficacy. We proposed a novel method via clustering of sound events for discovering the sleep pattern. This method extended conventional self-organizing map algorithm by kernelized and sequence-based technologies, obtained a fine-grained map that depicts the distribution and changes of sleep-related events. We introduced widely applied features in sound processing and popular kernel functions to our method, evaluated their performance, and made a comparison. Our method requires few additional hardware, and by visualizing the transition of cluster dynamics, the correlation between sleep-related sound events and sleep stages was revealed. |
| 論文 | PDFファイル |