고령 사회로 진입함에 따라 고독사와 같은 심각한 사회 문제가 발생하였다. 그로 인해 독거노인 모니터링에 대한 연구 필요성이 국내에서 논의가 시작되고 있다. 국내 보다 빠르게 고령 사회에 진입한 미국/유럽 등은 2000년 이후로 연구를 진행해왔다. 근래에는 사생활 문제를 일으키지 않는 비부착형 센서들을 활용해 독거노인의 활동을 인지하기 위한 방법을 연구하고 있다. 본 논문은 독거노인 모니터링에 대한 연구의 필요성을 재고하기 위해 최근 국외 유수 저널에서 게재된 유한 상태기계 기반의 활동 인지 방법을 소개한다. 나아가 해당 방법의 인지 성능을 향상시키기 위한 재학습 방법을 소개하고, 이를 공개 데이터 셋에 적용하였다. 그 결과 재학습이 추가된 방법이 활동을 더 잘 인지 할 수 있는 것을 실험 결과를 통해 확인하였다.
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