| Title: | OS8-2 Low-Cost Indoor Localization Using Sound Spectrum of Light Fingerprints |
|---|---|
| Publication: | ICAROB2021 |
| Volume: | 26 |
| Pages: | 89-94 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2021.OS8-2 |
| Author(s): | Chung-Wen Hung, Hiroyuki Kobayashi, Jun-Rong Wu, Chau-Chung Song |
| Publication Date: | January 21, 2021 |
| Keywords: | light fingerprint, machine learning, indoor, localization |
| Abstract: | A low-cost indoor localization system using sound spectrum of light fingerprint is proposed in this paper, an artificial intelligence, AI, algorithm will be implemented in a low-cost micro-control unit, MCU, to perform the localization. The unit, complex and tiny differences of the light fingerprints are caused by the different characteristics of the discrete components used in lighting devices. To reduce the memory size for low-cost MCU, only sound spectrum of light fingerprint is used to identification the lighting device. Moreover, the grid search also is used to optimize the hyperparameters to compact the AI model. The system architecture and algorithm development are discussed in this paper, and the experimental results will be present to show the proposed system workable |
| PDF File: | https://alife-robotics.co.jp/members2021/icarob/data/html/data/OS/OS8/OS8-2.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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