Deep Reinforcement Learning-Based iTrain Serious Game for Caregivers Dealing with Post-Stroke Patients

Deep Reinforcement Learning-Based iTrain Serious Game for Caregivers Dealing with Post-Stroke Patients

This paper describes a serious game based on a knowledge transfer model using deep reinforcement learning, with an aim to improve the caretakers’ knowledge and abilities in post-stroke care. The iTrain game was designed to improve caregiver knowledge and abilities by providing non-traditional traini...

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Bibliographic Details
Main Authors: Rytis Maskeliunas, Robertas Damasevicius, Andrius Paulauskas, Maria Gabriella Ceravolo, Marina Charalambous, Maria Kambanaros, Eliada Pampoulou, Francesco Barbabella, Arianna Poli, Carlos V. Carvalho
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Information
Subjects:
serious game
stroke survivors
formal caregivers
informal caregivers
Lithuania
interactive education
Online Access:https://www.mdpi.com/2078-2489/13/12/564

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