Poster: Feasibility study toward a battery-free place recognition system based on solar cells

Yutaka Arakawa, Yugo Nakamura, Hirohiko Suwa, Yoshinori Umetsu, Manato Fujimoto, Keiichi Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a battery-free place recognition system that utilizes solar-cells as a sensor for localization. Our system combines multiple solar cells having different characteristics against the light environment. As an initial work, we select five kinds of solar cells available in the market and investigate the characteristics of them. Then, we show a potential for estimating the place based on the variation of electricity amounts generated from solar cells. Finally, we show that our proposed system distinguish nine places with 88.0% accuracy.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery, Inc
Pages1-4
Number of pages4
ISBN (Electronic)9781450359665
DOIs
Publication statusPublished - Oct 8 2018
Externally publishedYes
Event2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
Duration: Oct 8 2018Oct 12 2018

Publication series

NameUbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

Other

Other2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
CountrySingapore
CitySingapore
Period10/8/1810/12/18

Fingerprint

Solar cells
Electricity
Sensors

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Information Systems

Cite this

Arakawa, Y., Nakamura, Y., Suwa, H., Umetsu, Y., Fujimoto, M., & Yasumoto, K. (2018). Poster: Feasibility study toward a battery-free place recognition system based on solar cells. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (pp. 1-4). (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers). Association for Computing Machinery, Inc. https://doi.org/10.1145/3267305.3267624

Poster : Feasibility study toward a battery-free place recognition system based on solar cells. / Arakawa, Yutaka; Nakamura, Yugo; Suwa, Hirohiko; Umetsu, Yoshinori; Fujimoto, Manato; Yasumoto, Keiichi.

UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2018. p. 1-4 (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Arakawa, Y, Nakamura, Y, Suwa, H, Umetsu, Y, Fujimoto, M & Yasumoto, K 2018, Poster: Feasibility study toward a battery-free place recognition system based on solar cells. in UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, Association for Computing Machinery, Inc, pp. 1-4, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018, Singapore, Singapore, 10/8/18. https://doi.org/10.1145/3267305.3267624
Arakawa Y, Nakamura Y, Suwa H, Umetsu Y, Fujimoto M, Yasumoto K. Poster: Feasibility study toward a battery-free place recognition system based on solar cells. In UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc. 2018. p. 1-4. (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers). https://doi.org/10.1145/3267305.3267624
Arakawa, Yutaka ; Nakamura, Yugo ; Suwa, Hirohiko ; Umetsu, Yoshinori ; Fujimoto, Manato ; Yasumoto, Keiichi. / Poster : Feasibility study toward a battery-free place recognition system based on solar cells. UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2018. pp. 1-4 (UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers).
@inproceedings{a814b19730504392946a40c9c83e644a,
title = "Poster: Feasibility study toward a battery-free place recognition system based on solar cells",
abstract = "In this paper, we propose a battery-free place recognition system that utilizes solar-cells as a sensor for localization. Our system combines multiple solar cells having different characteristics against the light environment. As an initial work, we select five kinds of solar cells available in the market and investigate the characteristics of them. Then, we show a potential for estimating the place based on the variation of electricity amounts generated from solar cells. Finally, we show that our proposed system distinguish nine places with 88.0{\%} accuracy.",
author = "Yutaka Arakawa and Yugo Nakamura and Hirohiko Suwa and Yoshinori Umetsu and Manato Fujimoto and Keiichi Yasumoto",
year = "2018",
month = "10",
day = "8",
doi = "10.1145/3267305.3267624",
language = "English",
series = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "1--4",
booktitle = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",

}

TY - GEN

T1 - Poster

T2 - Feasibility study toward a battery-free place recognition system based on solar cells

AU - Arakawa, Yutaka

AU - Nakamura, Yugo

AU - Suwa, Hirohiko

AU - Umetsu, Yoshinori

AU - Fujimoto, Manato

AU - Yasumoto, Keiichi

PY - 2018/10/8

Y1 - 2018/10/8

N2 - In this paper, we propose a battery-free place recognition system that utilizes solar-cells as a sensor for localization. Our system combines multiple solar cells having different characteristics against the light environment. As an initial work, we select five kinds of solar cells available in the market and investigate the characteristics of them. Then, we show a potential for estimating the place based on the variation of electricity amounts generated from solar cells. Finally, we show that our proposed system distinguish nine places with 88.0% accuracy.

AB - In this paper, we propose a battery-free place recognition system that utilizes solar-cells as a sensor for localization. Our system combines multiple solar cells having different characteristics against the light environment. As an initial work, we select five kinds of solar cells available in the market and investigate the characteristics of them. Then, we show a potential for estimating the place based on the variation of electricity amounts generated from solar cells. Finally, we show that our proposed system distinguish nine places with 88.0% accuracy.

UR - http://www.scopus.com/inward/record.url?scp=85058268857&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058268857&partnerID=8YFLogxK

U2 - 10.1145/3267305.3267624

DO - 10.1145/3267305.3267624

M3 - Conference contribution

AN - SCOPUS:85058268857

T3 - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

SP - 1

EP - 4

BT - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

PB - Association for Computing Machinery, Inc

ER -