Interactive Visual Optimization and Analysis for RFID Benchmarking
Yingcai Wu, Ka-Kei Chung, Huamin Qu, Xiaoru Yuan, and S.C. Cheung
IEEE Transactions on Visualization and Computer
Graphics (TVCG) (Proceedings of IEEE Visualization / Information Visualization
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Abstract: Radio frequency identification (RFID) is a powerful automatic remote identification technique that has wide applications.
To facilitate RFID deployment, an RFID benchmarking instrument called aGate has been invented to identify the strengths and
weaknesses of different RFID technologies in various environments. However, the data acquired by aGate are usually complex timevarying
multidimensional 3D volumetric data, which are extremely challenging for engineers to analyze. In this paper, we introduce
a set of visualization techniques, namely, parallel coordinate plots, orientation plots, a visual history mechanism, and a 3D spatial
viewer, to help RFID engineers analyze benchmark data visually and intuitively. With the techniques, we further introduce two workflow
procedures (a visual optimization procedure for finding the optimum reader antenna configuration and a visual analysis procedure for
comparing the performance and identifying the flaws of RFID devices) for the RFID benchmarking, with focus on the performance analysis of the aGate system. The usefulness and usability of the system are demonstrated in the user evaluation.