Activity inference for rfid-based assisted living applications

Authors:
Judith Symonds;Boon-Chong Seet;Jingwen Xiong
Affiliations:
Faculty of Design and Creative Technologies, Auckland University of Technology, Auckland, New Zealand;Faculty of Design and Creative Technologies, Auckland University of Technology, Auckland, New Zealand;Faculty of Design and Creative Technologies, Auckland University of Technology, Auckland, New Zealand
Venue:
Journal of Mobile Multimedia
Year:
2010

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Abstract

Technology assisted living is a practical solution to the increasing demands for access to healthcare services in an era of aging populations and dwindling supply of professional healthcare workers. Radio Frequency Identification (RFID) technology with complementary sensors is widely considered as a very promising approach to realizing the vision of technology assisted living. At the core of any assisted living systems is the important function of human activity inference, which is what enables such systems to be intelligently perceptive and responsive to the humans under their care. In this paper, we review the current state-of-the-art in activity inference for RFID-based assisted living applications, and present our ongoing work on an assisted living prototype for 'goal training' or brain rehabilitation of patients with cognitive impairment in their home environments, with a discussion on the potential design issues involved.