T4AI: A system for monitoring people based on improved wearable devices

Abstract

Monitoring people is central to many applications. Some works from the literature prove that information about that the sequence of objects a person uses while performing an activity robustly characterizes both, the activity and the quality of its execution. In this paper we present a novel system called ?Toolkit for activities Inference? (T4AI) for inferring the activities executed by people from the interactions with objects. The system includes as main element a cybernetic glove based on wearable RFID readers and sensors. Our proposal includes an improved RFID technology being able to be used in metallic environments (such as industry scenarios). Moreover, an experimental validation was conducted in order to determine the performance of the proposed system.