Takaaki Kaiga

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( f ) #1120 (e) #0940 (d) #0760 Fig.3 CG animation of pianist's musical performance (180 frame intervals). Motor area that controls the movements of the human body is divided functionally into each control region. In the motor area, the area of the hand is almost the same as the total area of arm, torso and lower body. This physiological fact indicates that(More)
It has been recognized that a technique to divide a raw motion-capture data stream of a dance into segments on the time axis is needed [Sonoda 2008]. In particular, the extraction of the higher-level information such as the hierarchical segmentation-structure is a subject of growing interest at the present time. In this study, the authors attempt to develop(More)
In most of the techniques to extract keyframes from motion capture (mocap) data, criteria to guarantee the quality of keyframes are provided by manually adjusting evaluation parameters. In this study, the authors try to apply the Bayesian information criterion (BIC) [Schwartz 1978] to keyframe extraction. BIC is a model-selection criterion; models are(More)
In the field of dance motion analysis, the development of qualitative evaluation technique for the analysis of body motions described in the form of quantitative data is needed [Nakamura et al. 2008]; it makes dance motion data acquired by motion capture systems intuitively interpretable. In this study, the authors propose a method to automatically(More)
Motor cortex that controls the movements of the human body is divided functionally into each control region. In the motor cortex, the area for the hand is almost the same as the total area for arm, torso and lower body. This physiological fact indicates that human hand movements require very complicated control. As a result, our hand can perform high(More)
In Akita Prefecture located in the northeast region of Japan, many attractive folk dances have been passed down. However, several dances were lost due to the falling birthrate and depopulation of rural areas. This study proposes a method to obtain the information contributing to the restoration of the lost folk dances. Specifically, we estimate the motion(More)
In the field of analysis of motion in dancing, application of factor analysis to motion capture data was suggested as the method for extraction of primitive motions in a dance [Miura et al. 2006]. In this study, we try to evaluate the similarity of plural dances, by using the data of characteristics in motion obtained by the above factor-analysis method.
Today, a number of attractive folk dances are existent in Japan. It is seen in recent years that their motion is analyzed by using motion capture (Mocap) data. On the other hand, many survey reports on Japanese folk dances have been compiled to record their histories and current states. It is expected that a lot of valuable information can be extracted by(More)
In the field of dance motion analysis, development of the technique for extraction of characteristic postures peculiar to each dance number is needed [Hachimura 2006]; extracted postures can be used as the indexes for the retrieval of motion data. In this study, the authors suggest a novel method for extraction of characteristic postures from the motion(More)