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.