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Paper Abstract and Keywords
Presentation 2022-06-23 15:55
Development and Evaluation of Indoor Activity Tracking System Using Sensor Fusion with Audio and 3D Point Cloud Observation
Mana Nishigaki, Hiroshi Yamamoto (Ritsumei Univ.) IA2022-7 ICSS2022-7
Abstract (in Japanese) (See Japanese page) 
(in English) With the current spread of COVID-19, there has been a growing interest in monitoring behavior of people to control the spread of infectious diseases indoor. In addition, in recent years, the probability of evacuation of residents to refuges has increased due to natural disasters such as earthquakes and typhoons.
So far, the existing studies have proposed tracking systems for the indoor position of individuals using a wireless tag which is linked to personal information or LiDAR. However, it is difficult to prepare enough tags before the occurrence of the disaster, and it is impossible to identify each person by the observation with LiDAR.
Therefore, in this system, we propose a new tracking system that identifies individuals in each direction by deploying microphones of estimating the direction of sound source on multiple locations and by analyzing the voiceprints.
In addition, by installing LiDAR, the system observes the three-dimensional structure in the area to be observed and identify the location of people in real time. Furthermore, by combining these observations, the system achieves the tracking of individuals indoor and detects the intensive contact among users.
By the proposed system, the location and behavior of users can automatically be tracked even if they do not possess specific devices, and the facility managers can check the visualization of the tracking results.
Keyword (in Japanese) (See Japanese page) 
(in English) IoT / voice analysis / machine Learning / point cloud analysis / LiDAR / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 85, IA2022-7, pp. 37-42, June 2022.
Paper # IA2022-7 
Date of Issue 2022-06-16 (IA, ICSS) 
ISSN Online edition: ISSN 2432-6380
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)
Download PDF IA2022-7 ICSS2022-7

Conference Information
Committee IA ICSS  
Conference Date 2022-06-23 - 2022-06-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Nagasaki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Security, etc. 
Paper Information
Registration To IA 
Conference Code 2022-06-IA-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and Evaluation of Indoor Activity Tracking System Using Sensor Fusion with Audio and 3D Point Cloud Observation 
Sub Title (in English)  
Keyword(1) IoT  
Keyword(2) voice analysis  
Keyword(3) machine Learning  
Keyword(4) point cloud analysis  
Keyword(5) LiDAR  
1st Author's Name Mana Nishigaki  
1st Author's Affiliation Ritsumeikan University (Ritsumei Univ.)
2nd Author's Name Hiroshi Yamamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumei Univ.)
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Speaker Author-1 
Date Time 2022-06-23 15:55:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2022-7, ICSS2022-7 
Volume (vol) vol.122 
Number (no) no.85(IA), no.86(ICSS) 
Page pp.37-42 
Date of Issue 2022-06-16 (IA, ICSS) 

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