Towards a Real-time Error Detection within a Smart Home by Using Activity Recognition with a Shoe-mounted Accelerometer

Julien Vandewynckel, Martin Otis, Bruno Bouchard, Bob-Antoine-Jerry Ménélas, Abdenour Bouzouane
2013 Procedia Computer Science  
Taking care of the elders constitutes a major issue in the western societies. Smart homes appear to be a socially and economically viable solution. They consist in habitats augmented with sensors and actuators enabling to achieve activity recognition and to provide assistive services to a resident. Stationary aspect of sensors used in most smart homes makes the concept difficult to deploy in existing homes, and involves a high cost. In this paper, we propose an inexpensive non-vision-based
more » ... m ably to recognize, in real-time, activities and errors of a resident. This proposed recognition system is based on a shoe equipped with a single sensor: a three-axis accelerometer and on a statetransition algorithmic approach using fuzzy logic. We have examined the learning data as frequency distributions, where the probability histograms have been directly interpreted as fuzzy set. We conducted experiments of the system in our smart home by simulating (multiple times) several scenarios based on a morning routine. These scenarios were based on clinical data gathered in a previous experiment We obtained promising results showing that the proposed activity and error recognition system are highly effective.
doi:10.1016/j.procs.2013.06.069 fatcat:njp2jzhyx5arhkl3cvyduxtnny