Estimation method of mastication ability with human action and facial expression

Yusuke Saito, Hiroyuki Nishiyama

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

Abstract

In recent years, status monitoring systems have become necessary and have been studied extensively to address the issue of aging and dying alone. Especially in Japan, which has the largest portion of elderly of all the countries, dying alone has been increasing not only for people over 65 years old, but also for those who are in their prime of life (ages 40 to 65 years). These who are 40 to 65 years old feel that it is necessary to lead a regular life; however, none of them has been be able to lead a regular life because of work. A correlation exists between mastication ability and independent living. Estimation of mastication using a wearable sensor has thus been studied. However, wearing a sensor adds to the subject severyday stress. Therefore, we designed a method to estimate mastication using non-contact depth sensors. In this study, we propose collaboration of action recognition with skeleton information and biting estimation with facial expressions. We also conduct an experiment to evaluate this method. Copyright ISCA.

Original languageEnglish
Title of host publicationProceedings of the 31st International Conference on Computers and Their Applications, CATA 2016
EditorsAntoine Bossard
PublisherThe International Society for Computers and Their Applications (ISCA)
Pages341-346
Number of pages6
ISBN (Electronic)9781943436026
Publication statusPublished - 1 Jan 2016
Event31st International Conference on Computers and Their Applications, CATA 2016 - Las Vegas, United States
Duration: 4 Apr 20166 Apr 2016

Publication series

NameProceedings of the 31st International Conference on Computers and Their Applications, CATA 2016

Conference

Conference31st International Conference on Computers and Their Applications, CATA 2016
CountryUnited States
CityLas Vegas
Period4/04/166/04/16

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Keywords

  • Action recognition
  • Facial expression
  • Kinect
  • Monitoring system
  • RealSense

Cite this

Saito, Y., & Nishiyama, H. (2016). Estimation method of mastication ability with human action and facial expression. In A. Bossard (Ed.), Proceedings of the 31st International Conference on Computers and Their Applications, CATA 2016 (pp. 341-346). (Proceedings of the 31st International Conference on Computers and Their Applications, CATA 2016). The International Society for Computers and Their Applications (ISCA).