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Poster: Real-time Material and Texture Recognition Using Visible Light Communication

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Xiao-Ping ZhangAuthors Info & Claims

MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services

Pages 696 - 697

https://doi.org/10.1145/3643832.3661427

Published: 04 June 2024 Publication History

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Abstract

In response to the challenges presented by conventional material and texture recognition methods, our research introduces a system using visible light communication (VLC) technology. This approach provides a non-contact, non-destructive, dual-functional solution, overcoming the limitations of cost, safety, and environmental adaptability associated with traditional methods. Through a comprehensive design integrating hardware and software, our system utilizes VLC for precise and efficient recognition. Extensive testing confirms its effectiveness, achieving 97.7% accuracy in material identification and 93.8% in texture detection. This study highlights VLC's potential in enhancing automated recognition systems across various applications.

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Cited By

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Li J(2024)PhD Forum Abstract: Ubiquitous Sensing System for Activity and Gesture Recognition via Optical and Energy-Harvesting Technologies2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00062(323-324)Online publication date: 13-May-2024
https://doi.org/10.1109/IPSN61024.2024.00062

Index Terms

Poster: Real-time Material and Texture Recognition Using Visible Light Communication
1. Human-centered computing
  1. Ubiquitous and mobile computing

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Information & Contributors

Information

Published In

MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services

June 2024

778 pages

ISBN:9798400705816

DOI:10.1145/3643832

Chairs:
Tadashi Okoshi,
JeongGil Ko,
Program Chair:
Robert LiKamWa

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 June 2024

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Short-paper

Funding Sources

Shenzhen Ubiquitous Data Enabling Key Lab
Guangdong Innovative and Entrepreneurial Research Team Program
Major Key Project of Peng Cheng Laboratory
National Natural Science Foundation of China
Shenzhen Science and Technology Program
Tsinghua Shenzhen International Graduate School-Shenzhen Pengrui Young Faculty Program of the Shenzhen Pengrui Foundation

Conference

MOBISYS '24

Sponsor:

SIGMOBILE

MOBISYS '24: 22nd Annual International Conference on Mobile Systems, Applications and Services

June 3 - 7, 2024

Minato-ku, Tokyo, Japan

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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Cited By

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Li J(2024)PhD Forum Abstract: Ubiquitous Sensing System for Activity and Gesture Recognition via Optical and Energy-Harvesting Technologies2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00062(323-324)Online publication date: 13-May-2024
https://doi.org/10.1109/IPSN61024.2024.00062

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