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Flexibility Support for Homecare Applications Based on Models and Multi-Agent Technology.

Aintzane Armentia¹, Unai Gangoiti², Rafael Priego³

¹Automatic Control & Systems Engineering Department, ETSI Bilbao, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain. aintzane.armentia@ehu.eus.

Sensors (Basel, Switzerland)

|December 24, 2015

Summary

Ambient intelligence technology offers a flexible and available homecare solution for aging populations, optimizing medical resources. This approach supports elderly individuals living independently while ensuring system reliability through a multi-agent middleware.

Keywords:

AAL systems adaptability availability domain modeling homecare multi-agent systems stateful components

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

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Published on: July 27, 2018

Area of Science:

Health Informatics
Computer Science
Gerontology

Background:

Public health systems face increasing pressure from aging populations in developed countries.
Homecare solutions are needed to support elderly independence and optimize medical resources.
Ambient intelligence technology presents a promising avenue for advanced homecare systems.

Purpose of the Study:

To propose a flexible and available homecare solution using ambient intelligence for the elderly.
To address the need for adaptable and resilient homecare applications throughout their lifecycle.
To enable medical staff to design customized, context-aware applications and guide developers.

Main Methods:

A domain modeling approach for designing adaptable homecare applications.
Implementation of a multi-agent based middleware for managing application execution.
Focus on flexibility mechanisms for adaptability and availability throughout the application lifecycle.

Main Results:

The proposed domain modeling approach facilitates customized application design for medical staff.
The multi-agent middleware ensures system adaptability to changing contexts.
The system demonstrates availability, even for stateful applications, mitigating service disruptions.

Conclusions:

The developed solution effectively addresses the flexibility and availability requirements for homecare applications.
Ambient intelligence, coupled with a multi-agent middleware, enhances elderly homecare and resource optimization.
This approach supports the entire lifecycle of homecare applications, from design to runtime.