Reh@City v2.0: a comprehensive virtual reality cognitive training system based on personalized and adaptive simulations of activities of daily living
Cognitive impairments are among the most
common age-related disabilities worldwide. Literature has
shown that cognitive training using Virtual Reality (VR)
systems can be a valid and effective solution for cognitive
rehabilitation. Virtual environments can be easily customized
to deliver very specific training by controlling the presentation
of stimuli and keeping track of the user responses. Reh@City
(RC) is a virtual reality simulation of a city where patients can
train a variety of cognitive skills while performing simulated
activities of daily living. An initial prototype of this city with
four environments was clinically validated with a stroke
sample, and the encouraging results motivated further
iterations and improvements in the RC, in terms of its tasks,
interaction with the content, and task adaptation. This paper
presents the efforts of creating RC v2.0, a VR-based software
system for cognitive rehabilitation that presents different
cognitive training tasks that take place in 8 realistically
modeled 3D environments, that are personalized to the patient
clinical profile and also implements automatic difficulty
adaptation.
Teresa Paulino, Ana Faria and Sergi Bermudez i Badia. (2019). Reh@City v2.0: a comprehensive virtual reality cognitive training system based on personalized and adaptive simulations of activities of daily living. Presented at the The Experiment@ International Conference 2019 (exp.at’19), Funchal, Portugal: IEEE.
Reference:
Teresa Paulino, Ana Faria and Sergi Bermudez i Badia. (2019). Reh@City v2.0: a comprehensive virtual reality cognitive training system based on personalized and adaptive simulations of activities of daily living. Presented at the The Experiment@ International Conference 2019 (exp.at’19), Funchal, Portugal: IEEE.
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