Registered
DANGEROUS SITUATION DETECTION METHOD AND APPARATUS USING TIME SERIES ANALYSIS OF USER BEHAVIORS
- Inventors
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Kim Hyo Jin, Park Hyunho, Lee Yong Tae, Kwon Eun Jung, Byon Sungwon, Jung Eui Suk
- Application No.
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16387327 (2019.04.17)
- Publication No.
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20190325728 (2019.10.24)
- Registration No.
- 10810856 (2020.10.20)
- Country
- UNITED STATES
- Project Code
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18HR1800, Platform Development of Multi-log based Multi-Modal Data Convergence Analysis and Situational Response,
Lee Yong Tae
- 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.
- KSP Keywords
- Detection Method, Sensing data, Set stability, Situation Detection, Stability interval, Time Series Analysis(TSA), Time series, User Behavior
- Family
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