DocumentCode
2018152
Title
Effects of observed motion speed on segmenting behavioral intention
Author
Ando, Hideyuki ; Niwa, Masataka ; Iizuka, Hiroyuki ; Maeda, Taro
Author_Institution
Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
fYear
2012
fDate
9-13 Sept. 2012
Firstpage
304
Lastpage
307
Abstract
When training for dance or sports, amateurs observe and mimic the physical exertion of experts to acquire skill by observing others. However, humans don´t memorize consecutive operations, but instead make discrete divisions and memorize body movements. The posture that becomes a key from consecutive operations is removed and memorized for discretion in a process we call segmentation. The movement is reproduced by smooth interpolations between the clause and the clause memorized as segmentation. In the first experiment, we clarified the existence of this segmentation by showing video of smooth movements to participants who selected the segment/frame that became a key. We confirmed commonness in this segment selection. In experiment 2, to reflect the physical exertion that made the segmentation, the participants input force to force sensors by a control stick. We showed video of smooth movements to them and simultaneously input the force pattern that corresponds to the movement. The force pattern, which uniformly converges by such repetition, is different depending on each participant. We call this method the “extraction of segmented behavioral intention.” On the other hand, we can arbitrarily change the speed of the physical exertion by expanding and contracting the segments of the movement video that obtained the force pattern by “extraction of segmented behavioral intention.” Since the expanded and contracted pattern range at a certain speed even when the movement speed changed, we preserved the shape and the selected segments. However, the segment shape changes when the movement speed is constantly fast.
Keywords
feature extraction; force sensors; image motion analysis; image segmentation; interactive devices; video signal processing; behavioral intention segmentation extraction; body movement memorization; control stick; dance training; discrete divisions; expert physical exertion; force pattern; force sensors; observed motion speed effects; posture; segment-frame selection; smooth movement video; sport training; Force; Force sensors; Humans; Image segmentation; Robot sensing systems; Standards;
fLanguage
English
Publisher
ieee
Conference_Titel
RO-MAN, 2012 IEEE
Conference_Location
Paris
ISSN
1944-9445
Print_ISBN
978-1-4673-4604-7
Electronic_ISBN
1944-9445
Type
conf
DOI
10.1109/ROMAN.2012.6343770
Filename
6343770
Link To Document