최근 공공안전 분야에서 위험상황을 감지하거나 선제적인 예측을 통해 안전을 보장하기 위한 요구사항이 대두대고 있다. 모바일 단말의 보급화로 인해 다양한 센서 데이터를 융합하여 분석할 경우 데이터의 잠재적 가치를 안전보장 측면에서 활용할 수 있다는 점에서 주목받고 있다. 스마트폰, 웨어러블 기기 등에서 발생되는 센서 데이터를 결합하여 사용자의 이동 경로 패턴, 행동 패턴을 분석하고, 사용자의 현재 위치에서 제공하는 위치 기반 범죄 위험 데이터를 융합하여 공공안전을 보장할 수 있는 효과적인 모델링 기법이 필요하다. 본 논문은 사용자의 과거 이동 궤적의 패턴과 행동 패턴을 분석하고, 사용자 별 이동 궤적들이 동일 공간 내에 다른 사용자와의 유사도를 분석하여 안전한 경로를 추천하게 된다. 본 논문은 위치기반 멀티모달 센서 데이터를 결합하여 사용자의 안전을 보장하기 위한 위험 예측 방법을 제안한다.
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