An Architecture for Embedded Systems Supporting Assisted Living

TL;DR

This paper presents a flexible architecture for Ambient Assisted Living systems that simplifies data acquisition setup without impacting reasoning processes, demonstrated through a fall detection application.

Contribution

It introduces an adaptable architecture enabling easy configuration of data acquisition in AAL systems while maintaining reasoning integrity.

Findings

Successful implementation in a fall detection system

Enhanced reusability and adaptability of AAL components

Maintained reasoning performance despite flexible data acquisition

Abstract

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.