Extraction of Motion Characteristics Corresponding to Sensitivity Information Using Dance Movement

Author:

Kamisato Shihoko, ,Odo Satoru,Ishikawa Yoshino,Hoshino Kiyoshi, ,

Abstract

This study is intended to quantitatively clarify the relationship between the motion characteristics behind the human motion in complicated motions like dancing and the subjective impressions of the observer. It examines the impression structures related to the motion of a determined body part of dancing and considers the motion characteristics giving a specific impression. To compare and consider the impression structures related to the motion of a body part, the authors made a principal component analysis, one of the multi-variable analytic methods, to check the arm and leg motions for any differences in the impression structure. Similarly, they considered any differences in the impression structures due to the experience knowledge of dance. Next, to consider any differences in the physical features that have effect on the impressions, they quantified the motion characteristics and used a heavy regression analysis to estimate the common motion characteristics that give the same impressions. In addition, they used the characteristics of the legs that are parts of the motion presumed to have the relationship with the impressions to reproduce the motion with CG for the consideration of these impressions. As a result, when the impressions of the arm and leg motions were compared, four impression evaluation axes of "like-dislike," "dynamic-static," "individual-monotonous," and "collected-wide" were extracted as the axes that evaluated the same impressions, but the impressions of "hard-soft" and "heavy-light" were extracted only from those of each arm or leg motion. When the evaluation axes of the impressions were compared between groups with differences in the knowledge of dance, five similar evaluation axes were extracted for each of them and there was no big difference in the impression structures themselves, but significant differences were found for the evaluation of impressions between the words used for the sensitivity evaluation in difference in knowledge. Attention was paid to the characteristics of the motion generating each impression to show the relationship between motion characteristics and subjective impressions.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Quantification of Motion Gracefulness Focused on Knees and Hips;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

2. Ranking-Based Affect Estimation of Motion Capture Data in the Valence-Arousal Space;Proceedings of the 5th International Conference on Movement and Computing;2018-06-28

3. Automatic Affect Classification of Human Motion Capture Sequences in the Valence-Arousal Model;Proceedings of the 3rd International Symposium on Movement and Computing;2016-07-05

4. Intelligent affect regression for bodily expressions using hybrid particle swarm optimization and adaptive ensembles;Expert Systems with Applications;2015-12

5. Development of the Movements Impressions Emotions Model: Evaluation of Movements and Impressions Related to the Perception of Emotions in Dance;Journal of Nonverbal Behavior;2013-02-01

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