Citation

Tan, Yi Fei and Koh, Siew Khew and Gan, Chew Peng and Tan, Siow Hooi (2022) Home Activities Sequence Pattern Analysis. Lecture Notes in Electrical Engineering, 835. pp. 459-467. ISSN 1876-1100

Full text not available from this repository.

Abstract

The elderly population in most of the countries has risen from year to year. Number of elderlies that staying alone at home also increase accordingly since the number of children in one family is decreasing. The cost of hiring caregivers is normally expensive and might cause financial burden to a family in the long-term. Fortunately, with advance technology, alternative approaches such as Global Monitoring System, smart clothing as well as embedded health care system in smart phone and smart watch could be the alternative approaches to monitor the health of some elderly that is able to live alone. The most feasible and cost-saving approach for in-house monitoring should be setting up sensors at different locations in a smart home for independent elderly that stay alone. Daily activities recorded through the sensors can be collected and analyzed to detect if there is any anomaly found. In this paper, analysis of staying alone elderly’s daily activities and behaviors are performed. This analysis is important to further developing suitable model that can be used to detect the anomalies in their routine home activity patterns.

Item Type:	Article
Uncontrolled Keywords:	Home-monitoring system, Daily activities, Statistical analysis, Elderly
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD2321-4730.9 Industry > HD2331-2336 Home labor. Home-based businesses
Divisions:	Faculty of Engineering (FOE) Faculty of Management (FOM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	09 Aug 2022 02:52
Last Modified:	09 Aug 2022 02:52
URII:	http://shdl.mmu.edu.my/id/eprint/10186

Downloads

Edit (login required)