22nd November 2018
|11:00 - 11:15||Welcome and Introduction|
|11:15 - 11:45||Invited Talk - Active Ageing and Neural Decay Prevention: new Roles for Enactive Artificial Intelligence
Abstract. The main aim of the talk is to present innovative roles of Enactive Artificial Intelligence for neural decay prevention in the active ageing framework. After a brief introduction to the problem of neural decay prevention through benchmark examples, the enactive artificial intelligence approach will be illustrated. Then, the case of new innovative enaction-based technologies producing binaural sounds will be showed as example of music therapy for neural stimulation to prevent decay. Finally, some production of synthetic music based on complex discrete systems will be presented.
Stefania Bandini - PhD in Computer Science, Full Professor of Computer Science at the University of Milano-Bicocca (ITALY). Fellow at The University of Tokyo - RCAST, Research Center for Advanced Science and Technology (JAPAN). Director of the CSAI - Complex Systems & Artificial Intelligence Research Center and Director of the PhD School in Computer Science at the Department of Computer Science, Systems and Communication (University of Milano-Bicocca). International Delegate of the Rector for Japan. Delegate for Internationalization at the PhD School of the University of Milano-Bicocca. Main research interests: Artificial Intelligence, Discrete Dynamical Systems, Crowd Simulation, AI-based technologies for the Ageing Society.
|11:45 - 12:45||Invited Talk - BioRobotics research topics for healthy living and active ageing
Abstract. Nowadays ICT and robotic technologies are experimenting an increasing number of opportunities to be exploited in several scenarios of daily living. Particularly, the integration of Robotics, Internet of Things and Artificial Intelligence is an interesting approach that enables the possibility to design and develop new frontiers in personalized and precision medicine, cognitive frailty and cooperative robotics. In this context, this talk aims to present the main results in the development of BioRobotics solutions aiming to face bioengineering challenges in 1) objective assessment in Parkinson disease, 2) objective neuropsychological assessment and rehabilitation in Mild Cognitive Impairment, and 3) physical and cognitive stimulation and rehabilitation in cognitive frailty. The development of wearable sensors for fine biomechanical analysis of movement, combined with artificial intelligence techniques is, for example, at the base of creating a framework to objectively quantify the UPDRS scores in Parkinson and identify challenging opportunities in early diagnosis and therapy control. Similarly, the use of these technologies is also increasing in MCI neuropsychological assessment, for example in the development of tools able to combine physical exercise and traditional cognitive test. Finally, social robotics highlights another fundamental scientific problem in cognitive human robot interaction, aiming to develop cognitive models for robots and understanding human mental models of robots. In this context, perception capabilities of robots could be achieved through emotion and gesture recognition, combined with supervised or unsupervised approaches. Interestingly, social robotics plays an important role, not only for pure human robot interaction, but also for bioengineering applications, as demonstrated by the fact that a substantial part of research work in this area deals with treatment of children with ASD or elderly with mild cognitive impairments.
Filippo Cavallo, MScEE, PhD in BioEngineering, is assistant professor at the BioRobotics Institute of Scuola Superiore Sant’Anna, Italy, and head and scientific responsible of the Assistive Robotics Lab. His research objectives are to promote and evaluate novel service robotics for active and healthy ageing, to identify and validate disruptive healthcare paradigms for neurodegenerative and chronic diseases and to optimize the management of working life for improving efficiency, security and QoL of workers in industrial settings. The main scientific and technological challenges concern social robotics, human robot interaction, wearable sensors, Internet of Things and artificial intelligence for robot companion and healthcare applications. He participated in various National and European projects, is currently principal investigator of the DAPHNE Project about Parkinson disease and scientific responsible for SSSA of ACCRA, Capsula, Corsa, Domo4Lab, IN4Wood Projects and is author of various papers on conferences and ISI journals.
|16:30 - 17:00||Towards Flexible Assistive Robots Using Artificial Intelligence
Amedeo Cesta, Gabriella Cortellessa, Andrea Orlandini, and Alessandro Umbrico
|17:00 - 17:30||Dynamic Decision Support System for Personalised Coaching to Support Active Ageing
Silvia Orte, Paula Subías, Laura Fernández, Alfonso Mastropietro, Simone Porcelli, Giovanna Rizzo, Noemí Boqué, Sabrina Guye, Christina Röcke, Giuseppe Andreoni, Antonino Crivello, and Filippo Palumbo
23rd November 2018
|09:30 - 10:00||Self-Management of Complex Chronic Patients: Needs and A Proposal
Eloisa Vargiu, Juan Manuel Fernández, Mauricio Gonzales-Gonzales, Juan Manuel Morales-Garzón, Kitiara Prunera-Moreda, and Felip Miralles
|10:00 - 10:30||Patient Engagement: Theoretical and Heuristic Approaches for Supporting the Clinical Practice
Italo Zoppis, Riccardo Dondi, Sara Manzoni, and Giancarlo Mauri
|10:30 - 11:00||Elderly Walkability Index through GIS: Towards Advanced AI-based Simulation Models
Andrea Gorrini and Stefania Bandini
|11:30 - 12:00||Walkability Assessment for the Elderly Through Simulations: The LONGEVICITY Project
Stefania Bandini, Luca Crociani, Andrea Gorrini, Katsuhiro Nishinari, and Giuseppe Vizzari
|12:00 - 12:30||ExPLoRAA: An Intelligent Tutoring System for Active Ageing in (Flexible) Time and Space
Amedeo Cesta, Gabriella Cortellessa, Riccardo De Benedictis, and Francesca Fracasso