Departmental Bulletin Paper 動画解析に基づく自動くせ検出システムの基礎検討

見澤, 弘樹

57pp.1 - 4 , 2016-03-24 , 法政大学大学院理工学・工学研究科
In this paper, we propose an automated habit detection system. We de ne a \habit" in thisstudy as some motion those are signi cantly different from our common behaviors. Behaviors of two subjects during conversation are tracked by the Kinect sensor and their skeletal and facialconformations are detected. The proposed system detects the motions considered as habits by analyzing them using a principal component analysis (PCA) and wavelet multi-resolution analysis (MRA). In our experiments, we prepare a total of 108 movies containing 5 min of conversation.Of these, 100 movies are used to build the average motion model (AMM), and the remainder are used for the evaluation. The accuracy of habit detection in the proposed system is shown to have a precision of 84.0% and a recall of 81.8%.Key W ords:Kinect, Motion analysis, PCA, MRA

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