Nokia held a virtual awards ceremony on December 3 and announced the winners of the 2020 Bell Labs Prize, a competition that recognizes disruptive innovations that will define the next industrial revolution. Proposals were received from 208 academics in 26 countries, and a team from the Georgia Tech School of Electrical and Computer Engineering (ECE) consisting of GTPG member Cheng Qi, Francesco Amato, and Greg Durgin was presented with the third-place prize. Read more here.
Motion Capture Through Walls, Long Distances
Fine-scale Through-Wall Positioning Using Tunneling RFID Tags
Cheng Qi;Francesco Amato;Billy Kihei;Gregory D. Durgin
2020 IEEE International Conference on RFID (RFID)
It has been shown that Tunneling Tags enable long-range communications and localization in line-of-sight (LoS) with an RFID reader operating in the 5.8 GHz band. This paper demonstrates how a received signal phase-based positioning method can be applied to localize tags in a non-line-of-sight (NLoS) scenario. In particular, a Tunneling Tag provides 20.0 dB more received signal strength than a Semi-passive one when they communicate through a plaster wall. Moreover, when calibration is applied, average distance estimation accuracies of 12.1 cm (percentage error: 2.1%) and 9.2 cm (percentage error: 1.4%) are achieved in LoS and NLoS, respectively. The low-power requirement of the Tunneling Tag and the low EIRP of the reader suggest that these tags can significantly contribute to developing new and low-powered indoor positioning applications.
How to Do Motion Capture with RFID Sensor Fusion
Nonlinear Least-Squares State Estimation for 2D RFID-Based Motion Capture
Qian Yang;David G. Taylor;Gregory D. Durgin
2020 IEEE International Conference on RFID (RFID)
In this paper, we present a general technique for implementing nonlinear least-squares state estimation for a two-dimensional RFID-based motion capture problem that can achieve 1.45 cm localization accuracy without the need for special initialization or tuning processes – a significant improvement over previous results in the literature. We demonstrate various algorithms that use different combinations of received signal strength (RSS), backscatter signal phase, a 3-axis accelerometer, a 3-axis gyrometer, and 3-axis magnetometer measured in a live microwave backscatter system. Permutations involving different nonlinear solvers (Gauss-Newton and Levenberg-Marquardt) and different stack levels (the number of samples in time incorporated into an estimation) are addressed.
IEEE RFID 2021 Hybrid Conference in Phoenix, 27-29 April 2021
Next year’s annual installment of the IEEE RFID 2021 will be a hybrid conference in Phoenix, AZ from 27-29 April 2021. Planned to be co-located with RFID Journal LIVE!, the conference will allow both presenters and attendees to join either in person or online. Open calls are on the website for papers, workshops, and tutorials. Hopefully we will all be able to meet in person in 2021!
- 1
- 2
- 3
- …
- 25
- Next Page »