RFID shakables: pairing radio-frequency identification tags with the help of gesture recognition

Authors:
Lito Kriara;Matthew Alsup;Giorgio Corbellini;Matthew Trotter;Joshua D. Griffin;Stefan Mangold
Affiliations:
Disney Research, Zürich, Switzerland;Disney Research, Pittsburgh, PA, USA;Disney Research, Zürich, Switzerland;Disney Research, Pittsburgh, PA, USA;Disney Research, Pittsburgh, PA, USA;Disney Research, Zürich, Switzerland
Venue:
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
Year:
2013

Citing 9
Cited 1

RFID-based techniques for human-activity detection

Communications of the ACM - Special issue: RFID
Building the Internet of Things Using RFID: The RFID Ecosystem Experience

IEEE Internet Computing
Shake Well Before Use: Intuitive and Secure Pairing of Mobile Devices

IEEE Transactions on Mobile Computing
Recognizing daily activities with RFID-based sensors

Proceedings of the 11th international conference on Ubiquitous computing
A $3 gesture recognizer: simple gesture recognition for devices equipped with 3D acceleration sensors

Proceedings of the 15th international conference on Intelligent user interfaces
6LoWPAN: The Wireless Embedded Internet

6LoWPAN: The Wireless Embedded Internet
Interconnecting Smart Objects with IP: The Next Internet

Interconnecting Smart Objects with IP: The Next Internet
A hierarchical approach to real-time activity recognition in body sensor networks

Pervasive and Mobile Computing
Gesture recognition using RFID technology

Personal and Ubiquitous Computing

Bringing gesture recognition to all devices

NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel approach for pairing RFID-enabled devices is introduced and evaluated in this work. Two or more devices are moved simultaneously through the radio field in close proximity of one or more RFID readers. Gesture recognition is applied to identify the movements of the devices, to mark them as a pair. This application is of interest for social networks and game applications in which play patterns with RFID-enabled toys are used to establish virtual friendships. In wireless networking, it can be used for user-friendly association of devices. The approach introduced here works with off-the-shelf passive RFID tags, as it is software-based and does not require hardware or protocol modifications. Every RFID reader constantly seeks for tags, thus, as soon as one tag is in its vicinity, the reader reports the presence of the tag. Such binary information is used to recognize the movement of tags and to pair them, if the gesture patterns match each other. We show via experimental evaluation that this feature can be easily implemented. We determine the required gesture interval duration and characteristics for accurate gesture and matching detection.