Si-won Kim, Jun-ho Ahn, Journal of Internet Computing and Services, Vol. 20, No. 6, pp. 95-103, Dec. 2019
10.7472/jksii.2019.20.6.95, Full Text:  HTML
Keywords: Intelligence, vision, Audio, Dust, pattern, One-person Households

Abstract

The number of one person households has grown steadily over the recent past and the population of lonely and unnoticed death are also observed. The phenomenon of one person households has been occurred. In the dark side of society, the remarkable number of lonely and unnoticed death are reported among different age-groups. We propose an unusual event detection method which may give a remarkable solution to reduce the number of the death rete for people dying alone and remaining undiscovered for a long period of time. The unusual event detection method we suggested to identify abnormal user behavior in their lives using vision pattern, audio pattern, and dust pattern algorithms. Individually proposed pattern algorithms have disadvantages of not being able to detect when they leave the coverage area. We utilized a fusion method to improve the accuracy performance of each pattern algorithm and evaluated the technique with multiple user behavior patterns in indoor areas.

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