Gesture recognition using RFID technology

Asadzadeh Birjandi, P., Kulik, L. and Tanin, E. (2011) Gesture recognition using RFID technology. Personal and Ubiquitous Computing, 16(3), pp. 225-234. (doi: 10.1007/s00779-011-0395-z)

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We propose a gesture recognition technique based on RFID: cheap and unintrusive passive RFID tags can be easily attached to or interweaved into user clothes, which are then read by RFID antennas. These readings can be used to recognize hand gestures, which enable interaction with applications in an RFID-enabled environment. For instance, it allows people to interact with large displays in public collaboration spaces without the need to carry a dedicated device. We propose the use of multiple hypothesis tracking and the use of subtag count information to track the motion patterns of passive RFID tags. To the best of our knowledge, this work is the first on motion pattern tracking using passive RFID tags. Despite the reading uncertainties inherent in passive RFID technology, our experiments show that the proposed gesture recognition technique has an accuracy of up to 93%.

Item Type:Articles (Other)
Glasgow Author(s) Enlighten ID:Asadzadeh Birjandi, Dr Parvin
Authors: Asadzadeh Birjandi, P., Kulik, L., and Tanin, E.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Personal and Ubiquitous Computing
Publisher:Springer Verlag
ISSN (Online):1617-4917

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