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Paper Abstract and Keywords
Presentation 2024-02-29 11:50
Sensing and computing framework for sharing real-space experience
Wataru Sano, Oishi Taisei, Ryusei Sugano, Ryoichi Shinkuma, Gabriele Trovato (SIT) SeMI2023-74
Abstract (in Japanese) (See Japanese page) 
(in English) Opportunities for digital-space experience increase through the metaverse. Increasing opportunities in digital-space experiences lead to decreasing opportunities in real-space experiences. It is crucial to enhance real-space experiences without compromising the digital-space experiences. Prior research has been done to understand sharing experiences. The prior research is limited to a discussion of the sharing real-space experiences on real space. We present a framework for sharing real-space experiences in digital space through a video content with effects. The effects, derived from sensor data of real-space experiences, are applied to a first-person view video of an experiencer. The sensor data is 3D point cloud data. Simulated experiences, representing digital-space experiences, aim to convey realistic real-space experiences. We conduct an experiment to evaluate simulated experiences. We examine our framework through a quantitative evaluation and two types of subjective evaluation. The experiment compares the simulated experiences under 4 conditions. The conditions are sensor data type, statistic type, effects type, and video content type. Results are obtained and compared for both quantitative and subjective evaluations under each of the conditions. ANOVA is employed to test the significance of means. The video contents and the effects type show significant difference. Correlation matrices of subjective immersion evaluation are presented.
Keyword (in Japanese) (See Japanese page) 
(in English) real-space experience sharing in digital space / simulated experience / LiDAR sensor / dynamic feature of point cloud / visual effects based on dynamic feature / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 400, SeMI2023-74, pp. 19-24, Feb. 2024.
Paper # SeMI2023-74 
Date of Issue 2024-02-22 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SeMI IPSJ-UBI IPSJ-MBL  
Conference Date 2024-02-29 - 2024-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2024-02-SeMI-UBI-MBL 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sensing and computing framework for sharing real-space experience 
Sub Title (in English)  
Keyword(1) real-space experience sharing in digital space  
Keyword(2) simulated experience  
Keyword(3) LiDAR sensor  
Keyword(4) dynamic feature of point cloud  
Keyword(5) visual effects based on dynamic feature  
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Keyword(7)  
Keyword(8)  
1st Author's Name Wataru Sano  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Oishi Taisei  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
3rd Author's Name Ryusei Sugano  
3rd Author's Affiliation Shibaura Institute of Technology (SIT)
4th Author's Name Ryoichi Shinkuma  
4th Author's Affiliation Shibaura Institute of Technology (SIT)
5th Author's Name Gabriele Trovato  
5th Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2024-02-29 11:50:00 
Presentation Time 20 minutes 
Registration for SeMI 
Paper # SeMI2023-74 
Volume (vol) vol.123 
Number (no) no.400 
Page pp.19-24 
#Pages 6 
Date of Issue 2024-02-22 (SeMI) 


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