title: Action tagging in a multi-user indoor environment for behavioural analysis purposes.
abstract: EU population is getting older, so that ICT-based solutions are expected to provide support in the challenges implied by the demographic change. At the University of Parma an AAL (Ambient Assisted Living) system, named CARDEA, has been developed. In this paper a new feature of the system is introduced, in which environmental and personal (i.e., wearable) sensors coexist, providing an accurate picture of the user's activity and needs. Environmental devices may greatly help in performing activity recognition and behavioral analysis tasks. However, in a multi-user environment, this implies the need of attributing environmental sensors outcome to a specific user, i.e., identifying the user when he performs a task detected by an environmental device. We implemented such an "action tagging" feature, based on information fusion, within the CARDEA environment, as an inexpensive, alternative solution to the problematic issue of indoor locationing.
authors.forename: Claudio
authors.initials: C
authors.lastname: Guerra
authors.forename: Valentina
authors.initials: V
authors.lastname: Bianchi
authors.forename: Ilaria
authors.initials: I
authors.lastname: De Munari
authors.forename: Paolo
authors.initials: P
authors.lastname: Ciampolini
mesh_terms: D001519:Behavior / Q000502:physiology*; D006801:Humans; D009068:Movement / Q000502:physiology*; D013686:Telemetry / Q000295:instrumentation / Q000379:methods*