[Solomonov Seminar] 245. Solomonov seminar

[Marko Grobelnik]

V sredo, 19. septembra bo ob 10h v Veliki predavalnici IJS (prvo 
nadstropje glavne stavbe) 245. Solomonov seminar. Posnetki preteklih 
seminarjev so na http://videolectures.net/solomon/

Predaval bo Alberto Borghese iz Univerze v Milanu, ki je koordinator FP7 
projekta Rewire na temo umetne inteligence za rehabilitacijo bolnikov.

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N. Alberto Borghese
Applied Intelligent Systems (http://ais-lab.di.unimi.it)
Department of Computer Science
Università degli Studi di Milano

Computational Intelligence and Games for at home Rehabilitation

New game engines are heavily based on Computational Intelligence as this 
can provide game variability and adaptation to the player. This is 
particularly true for the rehabilitation domain, in which games are used 
to guide the patient, at home, through the rehabilitation exercises 
prescribed in the hospital. We describe here our approach implemented in 
the Intelligent Game Engine for Rehabilitation (IGER). Bayesian 
adaptation is used to adapt on-line the game parameters to provide an 
adequate challenge level to the patient looking at the patient's actual 
performance in the game. A fuzzy system has been implemented to use the 
knowledge by the therapists to monitor in real-time how the patient is 
doing the exercises, advising him and avoiding maladaptation. We show 
also some results on stochastic learning automata in modeling game 
interaction and how results on graph theory can be used to predict the 
time course of interaction. Examples in both domains will be shown and 
discussed.