The University of Texas at Arkansas
Tracking the location of a user is considered to be the most fundamental step for creating a context aware application such as activity monitoring in an assistive environment. In this paper, the authors present a novel, less-intrusive system that uses RFID and a Kinect sensor deployed at various locations of an assistive apartment to continuously track and identify every person in a multi-person assistive environment. The system maps the identification events from the RFID to the location information from the Kinect sensor using two approaches: proximity-based and classification-based. They evaluate their system for both approaches in a real world scenario. Their result shows great prospect of using the RFID and Kinect sensors jointly to solve the simultaneous tracking and identification problem.