Early detection system considering types of dementia by behavior sensing

Yuki Abe, Machiko Toya, Masahiro Inoue

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

4 Citations (Scopus)

Abstract

If dementia is detected at an early stage, the progress of the disease can be slowed. Therefore, early detection of dementia is important. In this study, we propose a system for elderly people living alone which detects suspicion of dementia at an early stage of the disease. In addition, the system determines types of dementia by initial symptom of the elderly people. We compared two different analytical methods for determining initial symptom from obtained data. The first method is an analytical method by threshold and the second method is an analytical method by trend of data. We evaluated validity and immediacy of the analytical methods by scenarios.

Original languageEnglish
Title of host publication2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
Pages348-349
Number of pages2
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013 - Tokyo, Japan
Duration: 2013 Oct 12013 Oct 4

Publication series

Name2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013

Conference

Conference2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
CountryJapan
CityTokyo
Period13/10/113/10/4

Keywords

  • context
  • dementia
  • home network
  • sensor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Abe, Y., Toya, M., & Inoue, M. (2013). Early detection system considering types of dementia by behavior sensing. In 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013 (pp. 348-349). [6664851] (2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013). https://doi.org/10.1109/GCCE.2013.6664851