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1.
公开(公告)号:US20210174664A1
公开(公告)日:2021-06-10
申请号:US17110992
申请日:2020-12-03
Inventor: Mirae DO , Hyunho PARK , Eunjung KWON , Sungwon BYON , Won-Jae SHIN , Yong-Tae LEE , Dong-Man JANG , Eui-Suk JUNG
Abstract: Provided is a system for detecting a risk using pattern analysis of layered tags in user log data, the system including a tag hierarchical database in which layered tag information and risk tag information according to a pattern corresponding to the layered tag information are matched with each other and are stored and managed, a user group terminal configured to provide user log data that is detected or input through sensors and input devices, and a risk prediction and response server configured to analyze the user log data provided from the user group terminal to detect a pattern of tags and configured to perform a response on a risk tag corresponding to the pattern of tags.
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2.
公开(公告)号:US20190325728A1
公开(公告)日:2019-10-24
申请号:US16387327
申请日:2019-04-17
Inventor: Hyojin KIM , Hyunho PARK , Eunjung KWON , Sungwon BYON , Yong-Tae LEE , Eui-Suk JUNG
Abstract: The present invention relates to dangerous situation detection method and apparatus using a time series analysis of user behaviors. The dangerous situation detection method and apparatus using a time series analysis of user behaviors according to the present invention includes recognizing user behaviors in a time series manner using sensor sensing data, setting stability interval periods and reflecting stability factors on the user behaviors recognized in the time series manner for each of the stability interval periods to set a stability level, and determining a danger level on the basis of the recognized user behaviors and the set stability level.
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