RapID: A Framework for Fabricating Low-Latency Interactive Objects with RFID Tags

Authors

Andrew Spielberg (Massachusetts Institute of Technology)
Alanson Sample (Disney Research Pittsburgh)
Scott E. Hudson (Carnegie Mellon University)
Jennifer Mankoff (Carnegie Mellon University)
Jim McCann (Disney Research Pittsburgh)

CHI 2016

May 7, 2016

RapID- A Framework for Fabricating Low-Latency Interactive Objects with RFID Tags-Image

RFID tags can be used to add inexpensive, wireless, batteryless sensing to objects. However, quickly and accurately estimating the state of an RFID tag is difficult. In this work, we show how to achieve low-latency manipulation and movement sensing with off-the-shelf RFID tags and readers. Our approach couples a probabilistic filtering layer with a Monte-Carlo-sampling-based interaction layer, preserving uncertainty in tag reads until they can be resolved in the context of interactions. This allows designers’ code to reason about inputs at a high level. We demonstrate the effectiveness of our approach with a number of interactive objects, along with a library of components that can be combined to make new designs.

Download File "RapID: A Framework for Fabricating Low-Latency Interactive Objects with RFID Tags-Paper"
[pdf, 4.46 MB]

Copyright Notice

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.