14 January 2021
16:00 – 17:30 CET

Link to online seminars: Zoom

We illustrate the IGER game engine developed specifically to support autonomous rehabilitation at home. We will show how specifically tailored computational intelligence implemented in IGER allows extending exergames with functionalities that make rehabilitation at home effective and safe.

N. Alberto Borghese graduated with laude in 1986 in Electrical Engineering. He has been CNR researcher between 1987 and 2000, and then Associate and Full Professor at the Department of Computer Science of University of Milan where he leads the laboratory of Applied Intelligent Systems.

His research activity is based on developing and testing on real problems methods and algorithms of computational intelligence, with particular attention to limited processing time. He has developed predictive models, based on hierarchical adaptive multi-scale approaches, adaptive clustering and statistical processing. More recently he has applied this knowledge to innovative platforms for e-Health and e-Welfare that integrate exergames, Artificial Intelligence, service robots, virtual communities and smart objects. He is coauthor of more than 80 journal papers (h index = 36), more than 140 refereed paper on conference proceedings, and 16 international patents.

His research has been financed by industry and public bodies. He has been partner of projects Robocare (2001-2004) and SI_Robotics (2019-2022) financed by MIUR; coordinator of the project financed by the European Commission: FITREHAB (InterRegIVC, 2009-2011), REWIRE (FP7, 2011-2015) and MOVECARE (H2020, 2017-2019), and partner of the project ESSENCE (H2020, 2020-2022).