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房屋修复的计算智能游戏

Computational Intelligence and Games for at Home Rehabilitation
课程网址: http://videolectures.net/solomon_borghese_computational_intellige...  
主讲教师: N. Alberto Borghese
开课单位: 米兰大学
开课时间: 2012-09-28
课程语种: 英语
中文简介:
新的游戏引擎很大程度上基于计算智能,因为它可以为玩家提供游戏可变性和适应性。对于康复领域尤其如此,在康复领域中,通过游戏来指导患者在家中进行医院规定的康复锻炼。我们在此介绍在康复智能游戏引擎(IGER)中实施的方法。贝叶斯适应性用于在线适应游戏参数,以在观察患者在游戏中的实际表现时向患者提供足够的挑战水平。已经实施了一个模糊系统,以使用治疗师的知识来实时监视患者进行锻炼的方式,为患者提供建议以及避免不良适应症。我们还显示了在建模游戏交互过程中随机学习自动机的一些结果,以及如何用图论的结果来预测交互作用的时间过程。将显示和讨论两个领域中的示例。
课程简介: 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.
关 键 词: 游戏引擎; 计算智能; 康复领域
课程来源: 视频讲座网
最后编审: 2019-09-21:cwx
阅读次数: 54