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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/12855

Title: Detection of Unusual Human Activities Based on Behavior Modeling
Authors: Hiraishi, Kunihiko
Kobayashi, Koichi
Keywords: behavior modeling
N-gram models
cooperative work
event-logs
Issue Date: 2014-05-14
Publisher: International Federation of Automatic Control
Magazine name: 12th International Workshop on Discrete Event Systems
Start page: 182
End page: 187
DOI: 10.3182/20140514-3-FR-4046.00029
Abstract: A type of services that require human physical actions and intelligent decision making exists in various real fields, such as nursing in hospitals and caregiving in nursing homes. In this paper, we propose new formalism for modeling human behavior in such services. Behavior models are estimated from event-logs, and can be used for analysis of human activities. We show two analysis methods: one is to detect unusual human activities that appear in event-logs, and the other is to find staffs that behave differently from others.
Rights: Copyright (C) 2014 International Federation of Automatic Control. Kunihiko Hiraishi and Koichi Kobayashi, 12th International Workshop on Discrete Event Systems, 2014, 182-187. http://dx.doi.org/10.3182/20140514-3-FR-4046.00029. This material is posted here with permission of International Federation of Automatic Control.
URI: http://hdl.handle.net/10119/12855
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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