抄録
In recent years, some researches reveal that there are relationships between cognitive disease and dental health. We expect a potential that a symptom of cognitive disease patients affects the way to brush his teeth. However, the relationship between the way of toothbrushing and that disease is not clear. In this paper, we propose a method of user identification based on toothbrushing information using a three-axis accelerometer, which is the first step for establishment of a method to detect variations of toothbrushing. In our method, we extract 11 features from the information captured by a three-axis accelerometer and use machine learning algorithm for identification. The result of our experiment shows that we can identify users of toothbrushing perfectly.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers |
| 出版社 | Association for Computing Machinery, Inc |
| ページ | 129-132 |
| ページ数 | 4 |
| ISBN（印刷版） | 9781450335751 |
| DOI | |
| 出版ステータス | Published - 2015 9月 7 |
| イベント | ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015 - Osaka, Japan 継続期間: 2015 9月 7 → 2015 9月 11 |
Other
| Other | ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015 |
|---|---|
| 国/地域 | Japan |
| City | Osaka |
| Period | 15/9/7 → 15/9/11 |
ASJC Scopus subject areas
- コンピュータ ネットワークおよび通信
- ハードウェアとアーキテクチャ
- ソフトウェア