User identification based on toothbrushing information using three-axis accelerometer

Kazuki Kobayashi, Tomoaki Ohtsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationUbiComp 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
PublisherAssociation for Computing Machinery, Inc
Pages129-132
Number of pages4
ISBN (Print)9781450335751
DOIs
Publication statusPublished - 2015 Sep 7
EventACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015 - Osaka, Japan
Duration: 2015 Sep 72015 Sep 11

Other

OtherACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015
CountryJapan
CityOsaka
Period15/9/715/9/11

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Keywords

  • Three-axis accelerometer
  • Toothbrushing
  • User identification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Kobayashi, K., & Ohtsuki, T. (2015). User identification based on toothbrushing information using three-axis accelerometer. In 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 (pp. 129-132). Association for Computing Machinery, Inc. https://doi.org/10.1145/2800835.2800889