Takaaki Kaiga

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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 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)
It has been recognized that the design of similarity measures to compare multiple motion-capture (mocap) data streams is one of the major tasks in human motion analysis [Müller et al. 2008]. The information of similarity is utilized for many applications such as the retrieval of mocap data streams.
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)
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 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)