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Paper Abstract and Keywords
Presentation 2020-12-17 11:55
Joint Inter-device Matching and Temporal Alignment between Camera and Wearable Sensors using 3D Motion Correlation
Hiroyuki Ishihara, Shiro Kumano, Takayuki Nakachi (NTT)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method to estimate the correspondence between a person’s ID and a device ID of a person, and the synchronization between devices based on motion correlation. The challenge is to compensate for the gravitational acceleration component mixed in the acceleration signal of the wearable device. To tackle this problem, the proposed method compensates for the direction of gravitational acceleration by estimating the direction of gravitational acceleration from the motion information of camera images and wearable devices only. Furthermore, from the viewpoint of privacy protection, we propose a method of identifying and synchronizing a person and synchronizing the time in the secret region using random unitary transformation, which is one of the secret operation methods. The evaluation using real data confirms that compensation of the gravity component improves the estimation accuracy and that the random unitary transformation has no effect on the estimation accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) person-device matching / time synchronization / motion correlation / gravity direction estimation / random unitary transform / / /  
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Conference Information
Committee HCGSYMPO  
Conference Date 2020-12-15 - 2020-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
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Paper Information
Registration To HCGSYMPO 
Conference Code 2020-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Joint Inter-device Matching and Temporal Alignment between Camera and Wearable Sensors using 3D Motion Correlation 
Sub Title (in English)  
Keyword(1) person-device matching  
Keyword(2) time synchronization  
Keyword(3) motion correlation  
Keyword(4) gravity direction estimation  
Keyword(5) random unitary transform  
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1st Author's Name Hiroyuki Ishihara  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Shiro Kumano  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Takayuki Nakachi  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2020-12-17 11:55:00 
Presentation Time 15 minutes 
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