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SmartMind: Activity tracking and monitoring for patients with Alzheimer's disease

Kam-Yiu Lam*, Nelson Wai-Hung Tsang*, Song Han*, Joseph Kee-Yin Ng*, Sze-Wei Tam, Ajit Nath

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper, we introduce SmartMind, an activity tracking and monitoring system to help Alzheimer's diseases (AD) patients to live independently within their living rooms while providing emergent help and support when necessary. Allowing AD patients to handle their daily activities not only can release some of the burdens on their families and caregivers, but also is highly important to help them regain confidence towards a healthy life and reduce the degeneration rates of their memories. The daily activities of a patient captured from Smart Mind can also serve as important indicators to describe his/her normal living habit (NLH). By checking with NLH, the patient's current health status can be estimated on a daily basis.
Original languageEnglish
Title of host publicationProceedings - International Conference on Advanced Information Networking and Applications, AINA
PublisherIEEE
Pages453-460
Volume2015-April
ISBN (Print)9781479979042
DOIs
Publication statusPublished - 29 Apr 2015
Event29th IEEE International Conference on Advanced Information Networking and Applications, AINA 2015 - Gwangju, Korea, Republic of
Duration: 25 Mar 201527 Mar 2015

Publication series

Name
Volume2015-April
ISSN (Print)1550-445X

Conference

Conference29th IEEE International Conference on Advanced Information Networking and Applications, AINA 2015
PlaceKorea, Republic of
CityGwangju
Period25/03/1527/03/15

Research Keywords

  • Context-Aware Computing
  • Dementia
  • Health Informatics
  • Motion Detection
  • Pervasive Computing

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