Proceedings of the 2022 European Conference on Computing in Construction


Development of digital twin models supporting ambient assisted living

Leonardo Binni, Alessandra Corneli, Massimo Vaccarini, Berardo Naticchia
Polytechnic University of Marche, Italy

DOI: 10.35490/EC3.2022.180
Abstract: World population aging requires finding solutions to improve independent living options. Ambient Assisted Living (AAL) is making step forward developing services supporting the elderly, but the implementation of predictive environments is still far away. Besides, the emerging Digital Twin (DT) concept has begun to shape the first cognitive environments that integrate users into assessments, improving efficiency, prevention, and prediction of likely events through real-time AI computing. This paper provides a prototype of a Cognitive Building framework based on DT models that develop high-level knowledge to achieve real-time Scenario Awareness and offer appropriate AAL services once anomalous scenarios are detected.
Keywords: Digital Twin, Ambient Assisted Living, Activity Recognition, Scenario Awareness, Bayesian Networks

Presentation Video: