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Paper Abstract and Keywords
Presentation 2024-03-05 14:30
Support leg-based body motion estimation system for infinite walking
Akito Sakai, Wataru Wakita (HCU)
Abstract (in Japanese) (See Japanese page) 
(in English) This research proposes a method for easy and unlimited movement in a VR space, in which the operator's foot and leg positions are estimated from the foot load acquired by a device like a scale, and reflected in the avatar. This method is expected to enable walking in VR space while presenting a sense of physical possession at a lower cost than conventional methods. As a first step, we used a simple device with eight load sensors to estimate the position of the operator's feet and legs based on the difference between the front-back and right-left sides of the load. As a result, one-legged standing and forward movement reproduced transitions similar to actual movements, but rightward movement was significantly different, and transitions occurred instantaneously. In the future, we believe it is necessary to improve the placement of the sensors along the plantar area and to control the amount of change in the load difference.
Keyword (in Japanese) (See Japanese page) 
(in English) 3DModel / Avatar / Sole load / Gait estimation / / / /  
Reference Info. ITE Tech. Rep., vol. 48, no. 8, AIT2024-126, pp. 319-322, March 2024.
Paper # AIT2024-126 
Date of Issue 2024-02-27 (AIT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2024-03-05 - 2024-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2024 
Paper Information
Registration To AIT 
Conference Code 2024-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Support leg-based body motion estimation system for infinite walking 
Sub Title (in English)  
Keyword(1) 3DModel  
Keyword(2) Avatar  
Keyword(3) Sole load  
Keyword(4) Gait estimation  
1st Author's Name Akito Sakai  
1st Author's Affiliation Hiroshima City University (HCU)
2nd Author's Name Wataru Wakita  
2nd Author's Affiliation Hiroshima City University (HCU)
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Speaker Author-1 
Date Time 2024-03-05 14:30:00 
Presentation Time 80 minutes 
Registration for AIT 
Paper # AIT2024-126 
Volume (vol) vol.48 
Number (no) no.8 
Page pp.319-322 
Date of Issue 2024-02-27 (AIT) 

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