手元画像解析と機械学習に基づく妨害破壊行為検知手法の開発
英字タイトル:
Development of Sabotage Behavior Detection by Hand Image Analysis and Machine Learning
著者:
出町 和之 陳 実 堀 智之 （東京大）
発刊日:
公開日:
Convolutional Neural NetworkDeep Neural NetworkHand Behavior IdentificationInsider SabotageLong Short Term MemoryNuclear SecurityTime-Series Data Analysis
Development of Sabotage Behavior Detection by Hand Image Analysis and Machine Learning
著者:
出町 和之 陳 実 堀 智之 （東京大）
発刊日:
公開日:
カテゴリ: 第15回
キーワードタグ:Convolutional Neural NetworkDeep Neural NetworkHand Behavior IdentificationInsider SabotageLong Short Term MemoryNuclear SecurityTime-Series Data Analysis
概要
In this research, a new method was developed to identify the “hand behavior” of malicious sabotage behaviors. The Convolutional Neural Network (CNN) and the Long Short Term Memory (LSTM) were applied for analysis of the time-series data of hand behavior images and identification of hand behavior.
