Journal of Robotics, Networking and Artificial Life

Volume 8, Issue 3, December 2021, Pages 186 - 192

End-to-End Deep Learning by MCU Implementation: Indoor Localization by Sound Spectrum of Light Fingerprints

Authors
Chung-Wen Hung1, *, Hiroyuki Kobayashi2, Jun-Rong Wu1, Chau-Chung Song1, 3
1Department of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Taiwan
2Department of System Design Engineering, Osaka Institute of Technology, Osaka, Japan
3Department of Aeronautical Engineering, National Formosa University, Yunlin, Taiwan
*Corresponding author. Email: wenhung@yuntech.edu.tw
Corresponding Author
Chung-Wen Hung
Received 13 November 2020, Accepted 9 July 2021, Available Online 9 October 2021.
DOI
https://doi.org/10.2991/jrnal.k.210922.007How to use a DOI?
Keywords
Light fingerprint; machine learning; indoor; localization
Abstract

This paper introduces a low-cost indoor localization system using sound spectrum of light fingerprint. An Artificial Intelligence (AI), algorithm will be implemented in a low-cost Micro-Control Unit (MCU), to perform the localization function. The unique light fingerprints with complex and tiny differences are caused by the different characteristics of the discrete components used in lighting devices. Only sound spectrum of light fingerprint is adopted for the identification of the lighting device to reduce the memory size requirement for implementation in a low-cost MCU. So, the grid search is used to optimize the hyperparameters for the smallest AI model. The system architecture and algorithm development are discussed in this paper, and the experimental results will be present to show the performance of the proposed system.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
8 - 3
Pages
186 - 192
Publication Date
2021/10/09
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.210922.007How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Chung-Wen Hung
AU  - Hiroyuki Kobayashi
AU  - Jun-Rong Wu
AU  - Chau-Chung Song
PY  - 2021
DA  - 2021/10/09
TI  - End-to-End Deep Learning by MCU Implementation: Indoor Localization by Sound Spectrum of Light Fingerprints
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 186
EP  - 192
VL  - 8
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.210922.007
DO  - https://doi.org/10.2991/jrnal.k.210922.007
ID  - Hung2021
ER  -