2018/08/01 by Daniela Micucci, Micucci, Daniela, Marco Mobilio +1
Computer Science · Engineering · Psychology · #Adaptation (eye) #Architecture #Artificial intelligence #Assisted living #Computer science #Context (archaeology) #Context-Aware Activity Recognition Systems #Engineering #FOS: Computer and information sciences #Field (mathematics) #Human–computer interaction #IoT-based Smart Home Systems #Life expectancy #Living systems #Psychology #Reuse #Software Engineering (cs.SE) #cs.SE
paper · pdf · doi:10.48550/arxiv.1808.00292
arxiv created 2018/08/01 · openalex publication_date 2018/08/01 · arxiv updated 2018/08/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The rise in life expectancy is one of the great achievements of the twentieth century. This phenomenon originates a still increasing interest in Ambient Assisted Living (AAL) technological solutions that may support people in their daily routines allowing an independent and safe lifestyle as long as possible. AAL systems generally acquire data from the field and reason on them and the context to accomplish their tasks. Very often, AAL systems are vertical solutions, thus making hard their reuse and adaptation to different domains with respect to the ones for which they have been developed. In this paper we propose an architectural solution that allows the acquisition level of an ALL system to be easily built, configured, and extended without affecting the reasoning level of the system. We experienced our proposal in a fall detection system.