Title :
Quantitative evaluation method for pose and motion similarity based on human perception
Author :
Harada, T. ; Taoka, S. ; Mori, T. ; Sato, T.
Author_Institution :
Sato-Mori Lab., Tokyo Univ., Japan
Abstract :
In the imitation research, "how much similar two motions are" is an essential problem. This paper tries to clarify the criterion by which human evaluates the similarity of poses and motions. First we proposed the quantitative pose similarity evaluation which follows human\´s intuition. This proposed evaluation uses the optimized parameters such as attention to each human\´s region and the nonlinearity of the distance perception from questionnaires of similarities for many pairs of human poses. Secondly by comparing the conventional similarity evaluation, we confirmed the validity of the quantitative pose similarity evaluation among different pairs of human poses. Lastly the quantitative pose similarity evaluation was applied to the motion similarity evaluation. Verification of that appropriateness revealed that the quantitative pose similarity evaluation is also useful for the motion similarity evaluation. Since the quantitative pose similarity evaluation reflects the human\´s perception, this evaluation clarifies the criterions by which human evaluates the pose or motion similarity. The clarified criterions for pose or motion similarity evaluation are as follows: 1) the distance perception is processed in three dimensional positions, 2) the relationship between the similarity and the sum of the Euclidean distances for each region is nonlinear, 3) human fixates poses symmetrically, 4) fingertips are paid particular attention, 5) human pays more attention to further regions from the hip in the upper half of the body, and 6) human pays more attention to nearer regions from the hip in the lower half of the body.
Keywords :
control nonlinearities; humanoid robots; Euclidean distances; conventional similarity evaluation; human perception; imitation research; motion similarity; motion similarity evaluation; pose similarity; quantitative evaluation method; quantitative pose similarity evaluation; Cognition; Cognitive robotics; Handicapped aids; Hidden Markov models; Hip; Humans; Laboratories; Learning systems; Robots; Visual perception;
Conference_Titel :
Humanoid Robots, 2004 4th IEEE/RAS International Conference on
Print_ISBN :
0-7803-8863-1
DOI :
10.1109/ICHR.2004.1442140