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

Kam Yiu Lam, Nelson Wai Hung Tsang, Song Han, Joseph K Y NG, Sze Wei Tam, Ajit Nath

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

13 Citations (Scopus)

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 - IEEE 29th International Conference on Advanced Information Networking and Applications, AINA 2015
EditorsLeonard Barolli, Makoto Takizawa, Fatos Xhafa, Tomoya Enokido, Jong Hyuk Park
PublisherIEEE
Pages453-460
Number of pages8
ISBN (Electronic)9781479979042
DOIs
Publication statusPublished - Mar 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

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
Volume2015-April
ISSN (Print)1550-445X

Conference

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

Scopus Subject Areas

  • Engineering(all)

User-Defined Keywords

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

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