TY - GEN
T1 - Leveraging Electromagnetic Polarization in a Two-Antenna Whiteboard in the Air
AU - Shangguan, Longfei
AU - Jamieson, Kyle
N1 - Funding Information:
We sincerely thank our shepherd Prof. Neil Spring and the anonymous reviewers for their insightful comments. This material is based upon work supported by the National Science Foundation under Grant No. 1617161 and European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement No. 279976.
PY - 2016/12/6
Y1 - 2016/12/6
N2 - 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-theart 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.
AB - 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-theart 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.
KW - Electromagnetic polarization
KW - RFID
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=85009761520&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009761520&partnerID=8YFLogxK
U2 - 10.1145/2999572.2999601
DO - 10.1145/2999572.2999601
M3 - Conference contribution
AN - SCOPUS:85009761520
T3 - CoNEXT 2016 - Proceedings of the 12th International Conference on Emerging Networking EXperiments and Technologies
SP - 443
EP - 456
BT - CoNEXT 2016 - Proceedings of the 12th International Conference on Emerging Networking EXperiments and Technologies
PB - Association for Computing Machinery, Inc
T2 - 12th ACM Conference on Emerging Networking Experiments and Technologies, ACM CoNEXT 2016
Y2 - 12 December 2016 through 15 December 2016
ER -