Abstract
This paper presents SpinLight, an indoor positioning system that uses infrared LED lamps as signal transmitters, and light sensors as receivers. The main idea is to divide the space into spatial beams originating from the light source, and identify each beam with a unique timed sequence of light signals. This sequence is created by a coded shade that covers and rotates around the LED, blocking the light or allowing it to pass through according to pre-defined patterns. The receiver, equipped with a light sensor, is able to determine its spatial beam by detecting the light signals, followed by optimization schemes to refine its location within that beam. We present both 2D and 3D localization designs, demonstrated by a prototype implementation. Experiments show that SpinLight produces a median location error of 3.8 cm, with a 95th percentile of 6.8 cm. The receiver design is very low power and thus can operate for months to years from a button coin battery.
Original language | English (US) |
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Title of host publication | SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems |
Publisher | Association for Computing Machinery, Inc |
Pages | 211-223 |
Number of pages | 13 |
ISBN (Electronic) | 9781450336314 |
DOIs | |
State | Published - Nov 1 2015 |
Event | 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of Duration: Nov 1 2015 → Nov 4 2015 |
Publication series
Name | SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems |
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Other
Other | 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 11/1/15 → 11/4/15 |
Bibliographical note
Funding Information:We thank the anonymous reviewers for their helpful commengts, and our shepherd, Koen Langendoen, whose feedback helped improve the paper and its presentation. Guang Tan was supported by NSFC under grant 61379135, Shenzhen Basic Research Funds under grant JCYJ20140610151856733, and Shenzhen Overseas High-Level Talents Innovation and Entrepreneurship Funds No. KQCX20140520154115026.
Publisher Copyright:
© 2015 ACM.
Keywords
- Indoor positioning
- Light
- Sensing