Detection of Insiders’ Sabotage using Time-Series Data Analysis of Hand Motion
英字タイトル:
Detection of Insiders’ Sabotage using Time-Series Data Analysis of Hand Motion
著者:
陳 実 Shi CHEN 出町 和之 KazuyuNi DEMACHI
発刊日:
公開日:
Hand Motion TracNing Sabotage Detection Time-Series Data AnalysisNuclear Security
Detection of Insiders’ Sabotage using Time-Series Data Analysis of Hand Motion
著者:
陳 実 Shi CHEN 出町 和之 KazuyuNi DEMACHI
発刊日:
公開日:
カテゴリ: 第14回
キーワードタグ:Hand Motion TracNing Sabotage Detection Time-Series Data AnalysisNuclear Security
概要
The importance of nuclear security increased after FuNushima Daiichi nuclear power plant accident. Especially as a threat to nuclear power plants, sabotage by insider is worthy of attention. In response to this situation, hand motion is an important part of human activity and it has high contribution to high-accuracy detection of insiders’ sabotage. Moreover, Time series data analysis is a useful method in abnormal behavior detection. In this research, the real-time hand motion detection system was developed using video camera. In addition, the possibility of insiders’ sabotage detection was explored by using Deep Learning.
