スパースモデリングを用いた古典舞踊動作からの特徴抽出

抄録

In the service field, it is important not only for efficiency but also for the impression that the interaction with the robot gives to people. Therefore, the purpose of this study is to generate meaningful motions for communication robots. In this study, we extract the features of motions that express a certain meaning from classical dance motions that have different characteristics depending on the region. We are trying to solve the difficulty of data analysis, including small number of data and many dimensions, using sparse modeling. By extracting features using sparse modeling and classifying the dance motion data using the features, we examined the validity of the extracted features. First, we tried to extract the features of the motions that express the meaning, but we have not yet succeeded in extracting them. On the other hand, it was found that it is possible to extract common features between dances with regional characteristics.