A Model for Identifying the Behavior of Alzheimer’s Disease Patients in Smart Homes-Reference-Cited by-同舟云学术

A Model for Identifying the Behavior of Alzheimer’s Disease Patients in Smart Homes

Published:2021-09-24 Issue: Volume: Page:
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Abbasi Haniye,Rasouli Kenari Abdolreza^ORCID,Shamsi Mahboubeh

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-021-09168-7.pdf

Reference31 articles.

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3. Sukanya, P., Gayathri, K. S. (2013) An Unsupervised Pattern Clustering Approach for Identifying Abnormal User Behaviors in Smart Home. IJCN.

4. Madeline, R., Vann, M. (2016). The 15 Most Common Health Concerns for Seniors. Available from https://www.everydayhealth.com/news/most-common-health-concerns-seniors/.

5. Association, A.S. (2012). Alzheimer's disease facts and figures. Available from https://www.alz.org/downloads/facts_figures_2.

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