Monitoring daily life activities of the elderly using data mining, cloud and web services
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Publication Details
Author list: Promrat T., Mongkolnam P., Funilkul S., Angkasirikul S.
Publication year: 2017
Journal: Walailak Journal of Science and Technology (1686-3933)
Volume number: 14
Issue number: 10Special Issue
Start page: 801
End page: 812
Number of pages: 12
ISSN: 1686-3933
Languages: English-Great Britain (EN-GB)
Abstract
Currently, the number of elderly people worldwide has substantially increased. The elderly living alone are prone to accidents such as falls, which sometimes lead to fatalities without timely notifications and help. This research applies sensors in smartphone, data mining, web services and cloud computing techniques. We have developed an Android application for a smartphone to detect daily activities of the elderly. Smartphone communicates with the cloud computing through web services. The cloud integrates with data mining to classify activities done by the elderly. In addition, we have developed the Android application for a tablet computer to monitor the daily activities done by the elderly, including lying, sitting, standing, walking, running, fall, and any changes occurring in their routines. This can help to perceive the risk as well as the daily activities of the elderly and find a solution for a timely assistance. Furthermore, it also helps a caregiver or family members to monitor the elderly’s activities when they need to go out of their homes. © 2017, Walailak University. All rights reserved.
Keywords
Activity classification, Cloud Computing, Daily Life Activities, Sensor Fusion
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