DocumentCode :
3122899
Title :
Construction of collision avoidance behavior model induced by visual motion
Author :
Watanabe, Norifumi ; Mikado, Hiroaki ; Omori, Takashi
Author_Institution :
Brain Sci. Inst., Tamagawa Univ., Tokyo, Japan
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
2732
Lastpage :
2736
Abstract :
We decide and execute our action from many types of environmental information in our daily lives even if we are not conscious of being guided. The human action induced from the oncoming person´s movement is the collision avoidance of passing each other. In collision avoidance, we chiefly judge the avoidance direction from visual information. Especially, it is important to get the information from oncoming person´s body part and avoidance timing in each other. Then, we make an experiment to judge the avoidance direction by watching the masking movie of oncoming person´s body part. By evaluating this judgment time, it was clarified oncoming person´s body part is leg in collision avoidance. Next, it especially paid attention to oncoming person´s leg, and the relation between the walking cycle and leg position in avoidance judgment is evaluated. From this result, the avoidance judgment is possible because the traveling direction can be controlled by the leg when the leg is lifting and landing. It was clarified that oncoming person´s walking cycle is important in the action decision during collision avoidance. So we propose the action decision model based at the walking cycle.
Keywords :
behavioural sciences; collision avoidance; decision theory; gait analysis; image motion analysis; collision avoidance behavior model; decision model; environmental information; human action; movie masking; person body part; person walking cycle; visual information; visual motion; Collision avoidance; Delay; Foot; Head; Legged locomotion; Motion pictures; action decision model; collision avoidance; visual motion; walking cycle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1098-7584
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2011.6007626
Filename :
6007626
Link To Document :
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