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
Event2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013 - Tokyo
Duration: 2013 Oct 12013 Oct 4

Other

Other2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
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] https://doi.org/10.1109/GCCE.2013.6664851

Early detection system considering types of dementia by behavior sensing. / Abe, Yuki; Toya, Machiko; Inoue, Masahiro.

2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013. 2013. p. 348-349 6664851.

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

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., 6664851, pp. 348-349, 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013, Tokyo, 13/10/1. https://doi.org/10.1109/GCCE.2013.6664851
Abe Y, Toya M, Inoue M. Early detection system considering types of dementia by behavior sensing. In 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013. 2013. p. 348-349. 6664851 https://doi.org/10.1109/GCCE.2013.6664851
Abe, Yuki ; Toya, Machiko ; Inoue, Masahiro. / Early detection system considering types of dementia by behavior sensing. 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013. 2013. pp. 348-349
@inproceedings{7049a97f5a534c0995e8a2817c9c5a51,
title = "Early detection system considering types of dementia by behavior sensing",
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.",
keywords = "context, dementia, home network, sensor",
author = "Yuki Abe and Machiko Toya and Masahiro Inoue",
year = "2013",
doi = "10.1109/GCCE.2013.6664851",
language = "English",
isbn = "9781479908929",
pages = "348--349",
booktitle = "2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013",

}

TY - GEN

T1 - Early detection system considering types of dementia by behavior sensing

AU - Abe, Yuki

AU - Toya, Machiko

AU - Inoue, Masahiro

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - context

KW - dementia

KW - home network

KW - sensor

UR - http://www.scopus.com/inward/record.url?scp=84892663051&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84892663051&partnerID=8YFLogxK

U2 - 10.1109/GCCE.2013.6664851

DO - 10.1109/GCCE.2013.6664851

M3 - Conference contribution

SN - 9781479908929

SP - 348

EP - 349

BT - 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013

ER -