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

 

In this work, we show how to achieve low-latency manipulation and movement sensing with off-the-shelf RFID tags and readers.

May 7, 2016
CHI Interactivity 2016

 

Authors

Andrew Spielberg (Disney Research/Massachusetts Institute of Technology) 

Alanson Sample (Disney Research) 

Scott E. Hudson (Disney Research/Carnegie Mellon University) 

Jennifer Mankoff (Disney Research/Carnegie Mellon University) 

James McCann (Disney Research) 

 

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

Abstract

RFID tags can be used to add inexpensive, wireless, batteryless sensing to objects. However, accurately estimating the state of an RFID tag quickly 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 to make accurate decisions at a high level. We demonstrate the effectiveness of our approach by creating a number of interactive objects, along with a library of components that can be combined to make new designs.

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