2DR: Towards Fine-Grained 2-D RFID Touch Sensing
This work addresses the need for low-cost, flexible touch sensing in RFID applications, though it appears incremental as it builds on existing RFID sensing methods.
The paper tackles the problem of fine-grained 2D touch sensing by introducing 2DR, a single RFID tag that uses a custom-shape antenna and statistical learning to sense human finger touch with off-the-shelf readers, reducing manufacturing costs and enabling printing on flexible materials.
In this paper, we introduce 2DR, a single RFID tag which can seamlessly sense two-dimensional human touch using off-the-shelf RFID readers. Instead of using a two-dimensional tag array to sense human finger touch on a surface, 2DR only uses one or two RFID chip(s), which reduces the manufacturing cost and makes the tag more suitable for printing on flexible materials. The key idea behind 2DR is to design a custom-shape antenna and classify human finger touch based on unique phase information using statistical learning. We printed 2DR tag on FR-4 substrate and use off-the-shelf UHF-RFID readers (FCC frequency band) to sense different touch activities. Experiments show great potential of our design. Moreover, 2DR can be further extended to 3D by building stereoscopic model.