ASSISTO eCARE 4.0 -- An IoT- and AI-based architecture for assisted active aging

Abstract

INTRODUCTION: All over Europe, there is an increasing demand for social/welfare services and a shift towards ademand increasingly formed by a mix of well-being and safety. Artificial intelligence (AI), Internet-of-Things (IoT) andcloud computing techniologies can play a major role in such a type of services.OBJECTIVES: The aim of this work was to investigate, design, develop and validate a prototype platform, named AssistoeCare 4.0, providing “well-being” and “safety” services/functionalities to home elderly residents.METHODS: The platform builds upon biometric technologies and analytics functionalities exploiting AI techniquesin order to limit human intervention during emergencies and automatically and immediately deciding actions to beperformed by making the operators intervene also directly at the user home.RESULTS: The prototype has been validated with a group of 22 users over a period of more than 7 months. The resultsderived from the final evaluation questionnaire show that the majority of participants rated the service as excellent.CONCLUSIONS: The platform has been released according to the API-as-a-Service model, proposing itself with apioneering model of social open innovation, which is to develop and test the IT system and then to make it availableto all those who want to use it. Currently (July 2021) the system has been engineered and offered by a consortium ofdifferent industries and is operative in the Rome area.

Keywords

• wellness
• safety
• active aging
• artificial intelligence
• machine learning
• remote monitoring