Anomaly detection on in-home activities data based on time interval

Volume: 15, Issue: 2, Pages: 778 - 778
Published: Aug 1, 2019
Abstract
<span>The world population of the elderly is expected to have a continuous growth and the number of elderly living in solitude is also expected to increase in the coming years. As our health decline with age, early detection of possible deterioration in health becomes important. Behavioral changes in in-home activities can be used as an indicator of health decline. For example, changes in routine of in-home activities. Past research mainly...
Paper Details
Title
Anomaly detection on in-home activities data based on time interval
Published Date
Aug 1, 2019
Volume
15
Issue
2
Pages
778 - 778
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