Electronics and Telecommunications Research Institute

Eunjung Kwon

Hyunho Park

Sungwon Byon

Yong-Tae Lee

HyoJin Kim

Eui-Suk Jung

Provided is a report data convergence analysis method for a disaster response. The method includes receiving first input data including report input data of a reporter, reception input data of a receiver, and report document input data that is prepared by the receiver after a disaster situation ends, storing the first input data in a first database, generating a plurality of first learning models through a learning process based on the first input data stored in the first database, and when the report input data of the reporter is received, performing convergence analysis on the plurality of generated first learning models to provide disaster situation information.

Report data convergence analysis system and method for disaster response

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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Daejeon, South Korea

Eunjung Kwon