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Leveraging Electromagnetic Polarization in a Two-Antenna Whiteboard in the Air

Shangguan, L; Jamieson, K; (2016) Leveraging Electromagnetic Polarization in a Two-Antenna Whiteboard in the Air. In: Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies. (pp. pp. 443-456). ACM: New York, NY, USA. Green open access

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Abstract

Wireless sensing, tracking, and drawing technologies are enabling exciting new possibilities for human-machine interaction. They primarily rely on measurements of backscattered phase, amplitude, and Doppler signal distortions, and often require many measurements of these quantities---in time, or from multiple antennas. In this paper we present the design and implementation of PolarDraw, the first whiteboard in the air that sends differentially-polarized wireless signals to glean more precise tracking information from a tag. Leveraging information received from each polarization angle, our novel algorithms infer orientation and position of an RFID-tagged pen using just two antennas, when the user writes in the air or on a physical whiteboard. An experimental comparison in a cluttered indoor office environment compares two-antenna PolarDraw with recent state-of-the-art object tracking systems that use double the number of antennas, demonstrating comparable centimeter-level tracking accuracy and character recognition rates (88--94%), thus making a case for the use of polarization in many other tracking systems.

Type: Proceedings paper
Title: Leveraging Electromagnetic Polarization in a Two-Antenna Whiteboard in the Air
Event: CoNEXT '16
Location: Irvine, CA, USA
Dates: 12 December 2016 - 15 December 2016
ISBN-13: 978-1-4503-4292-6/16/12
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2999572.2999601
Publisher version: http://dx.doi.org/10.1145/2999572.2999601
Language: English
Additional information: © 2016 Copyright held by the owner/author(s). Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the owner/author(s).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1527426
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