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Registered DANGEROUS SITUATION DETECTION METHOD AND APPARATUS USING TIME SERIES ANALYSIS OF USER BEHAVIORS

행동의 시계열 분석을 기반으로한 위험상황 인지 방법
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Inventors
Kim Hyo Jin, Park Hyunho, Byon Sungwon, Lee Yong Tae, Jung Eui Suk, Kwon Eun Jung
Application No.
16387327 (2019.04.17)
Publication No.
20190325728 (2019.10.24)
Registration No.
10810856 (2020.10.20)
Country
UNITED STATES
Project Code
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
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Status Patent Country KIPRIS
Registered Method and Apparatus of danger detection based on time series analysis of human activities KOREA KIPRIS