ICF-Based Classification to Bridge the Gap Between End-Users and AAL Solutions

Abstract

MAESTRO (Sustainable Reference Framework evaluating equipment and services for seniors) is a web-based ICT multi modal platform providing a broad range of services and benefits in the domain of monitoring and self-monitoring systems for well-being and health-related information acquisition. Specifically, MAESTRO aims at realizing an innovative framework to facilitate the interaction and communication between producers and consumers at different levels, taking into account needs of end-users and features of products. This paper provides an overview of the key concepts and capabilities of MAESTRO focusing on the use of the International Classification of Functioning, Disability and Health (ICF) to build profiles of end-users and discover and rank products that meet their health-related needs. Additionally, the paper shows the results of a study aimed at evaluating the classification capabilities of MAESTRO and the integrated ICF-based taxonomy with respect to products and services developed within AAL (Active Assisted Living) Projects. The evaluation points out more recurrent health-related needs of end-users of AAL projects focus and underscore some limits and possible enhancements of the integrated ICF-based taxonomy.