Multi-person identification and localization using RFID and passive sensor technology

Continuous location tracking in an assistive environment is considered to be the fundamental step for most of the monitoring applications, as it provides a very good indication about different ongoing activities. But, tracking in a multi-person environment, such as hospitals, requires simultaneous identification and localization mechanisms, which makes the system extremely complex. In this paper, we describe a system that uses RFID and other passive sensors deployed at various locations of the environment to continuously track and identify a person in a multi-person assistive environment. Given, sensor activations at different time points, the proposed system considers location uncertainties of each person and applies the nearest neighbor algorithm to update the location of a person.