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Paper Abstract and Keywords
Presentation 2018-01-18 15:15
[Encouragement Talk] IoTorch: Intuitive, Fast LED-to-Camera Communication for IoT Devices and Smartphones
Yuki Hokazono, Aoi Koizuka, Makoto Suzuki, Yoshiaki Narusue, Hiroyuki Morikawa (Tokyo Univ.) MoNA2017-45
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we present IoTorch, a fast and reliable LED-to-camera communication for smartphones.
LED-to-camera communication allows intuitive data transfer by simply holding a smartphone's camera over an LED.
This communication also allows low-cost and small-size implementation owing to the use of small LED.
However, in communication using the rolling shutter effect, packet losses due to inter-frame gaps and frame drops make it unsuitable for large data transfer.
IoTorch consists of two core mechanisms: 1) a packet retransmission strategy focusing on periodicity of inter-frame gaps, and 2) an ACK mechanism against frame drops using a smartphone's built-in flash focusing on its delay characteristic.
The experimental results using multiple smartphone models show that IoTorch can enable fast and reliable communication exceeding 1~kbps regardless of the models.
Keyword (in Japanese) (See Japanese page) 
(in English) LED-to-Camera Communication for Smartphones / Rolling Shutter Effect / Visible Light Communication / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 390, MoNA2017-45, pp. 25-25, Jan. 2018.
Paper # MoNA2017-45 
Date of Issue 2018-01-11 (MoNA) 
ISSN Print edition: ISSN 0913-5685    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 MoNA  
Conference Date 2018-01-18 - 2018-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Campus Plaza Kyoto 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Network, Application of Machine Learning, Mobile Data, etc. 
Paper Information
Registration To MoNA 
Conference Code 2018-01-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) IoTorch: Intuitive, Fast LED-to-Camera Communication for IoT Devices and Smartphones 
Sub Title (in English)  
Keyword(1) LED-to-Camera Communication for Smartphones  
Keyword(2) Rolling Shutter Effect  
Keyword(3) Visible Light Communication  
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1st Author's Name Yuki Hokazono  
1st Author's Affiliation Tokyo University (Tokyo Univ.)
2nd Author's Name Aoi Koizuka  
2nd Author's Affiliation Tokyo University (Tokyo Univ.)
3rd Author's Name Makoto Suzuki  
3rd Author's Affiliation Tokyo University (Tokyo Univ.)
4th Author's Name Yoshiaki Narusue  
4th Author's Affiliation Tokyo University (Tokyo Univ.)
5th Author's Name Hiroyuki Morikawa  
5th Author's Affiliation Tokyo University (Tokyo Univ.)
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Speaker Author-1 
Date Time 2018-01-18 15:15:00 
Presentation Time 25 minutes 
Registration for MoNA 
Paper # MoNA2017-45 
Volume (vol) vol.117 
Number (no) no.390 
Page p.25 
#Pages
Date of Issue 2018-01-11 (MoNA) 


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