Early detection system of dementia based on home behaviors and lifestyle backgrounds

Keisuke Kimino, Haruka Ishii, Maher Aljehani, Masahiro Inoue

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

3 Citations (Scopus)

Abstract

In recent years, the number of dementia illness has been increasing around the world. Dementia disease can be treated if it has been early detected. In previous work, we have developed an early detection system for dementia. Behaviors in the initial stage of dementia are many and diverse from designated to subjects, therefore, in this study, we collected data from different subjects and, we considered lifestyle backgrounds. Sensors that collect behaviors in households created in previous research sometimes failed to detect under the influence of the environment. Therefore, in this research, we improved the sensor device so as not to be influenced by the environment, and made it possible to accumulate data of persons suffered from dementia that had not been accumulated.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics, ICCE 2018
EditorsSaraju P. Mohanty, Hai Li, Peter Corcoran, Jong-Hyouk Lee, Anirban Sengupta
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
Volume2018-January
ISBN (Electronic)9781538630259
DOIs
Publication statusPublished - 2018 Mar 26
Event2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States
Duration: 2018 Jan 122018 Jan 14

Other

Other2018 IEEE International Conference on Consumer Electronics, ICCE 2018
CountryUnited States
CityLas Vegas
Period18/1/1218/1/14

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Media Technology

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