RehaBot:面向自适应远程康复的游戏化虚拟助手

Imad Afyouni, Anas Einea, Abdullah Murad
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引用次数: 9

摘要

本文介绍了“RehaBot”,这是一个在远程康复背景下构建自适应严肃游戏的框架。RehaBot利用3D运动跟踪和虚拟现实设备,开发了一个沉浸式和游戏化的远程康复环境。开发了一种个性化和自适应的游戏系统,允许患者在嵌入式虚拟助手(以下称为“康复机器人”)的帮助下进行锻炼,这些虚拟助手在场景中动态显示,指导患者完成所需的不同手势集。这些康复机器人能够根据用户的表现实时学习和适应最佳难度水平。在我们的引擎中加入了智能警报和自动校正技术,以便预先计算的手势模式与患者的手势相关联和匹配。因此,系统估计患者感知到的手势难度,并自动调整游戏行为,以确保高度参与和自适应的游戏体验。此外,多模态指令会向用户传达有关未按预期执行的关节的详细信息,并指导他们改进当前的手势。一项试点研究已经进行,以证明我们的适应性物理治疗解决方案的可用性和有效性。
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RehaBot: Gamified Virtual Assistants Towards Adaptive TeleRehabilitation
This paper introduces 'RehaBot', a framework for building adaptive serious games in the context of telerehabilitation. RehaBot takes advantage of 3D motion tracking and virtual reality devices, to develop an immersive and gamified telerehabilitation environment. A personalized and adaptive gaming system is developed, which allows patients to perform exercises with the help of embedded virtual assistants, hereafter called 'rehab bots', that are dynamically displayed within scenes to guide the patient through the different sets of gestures required to complete the session. These rehab bots have the ability to learn and adapt to the best level of difficulty in real-time based on the user performance. An intelligent alerting and automatic correction technique is incorporated within our engine, so that pre-calculated gesture patterns are correlated and matched with patients' gestures. Consequently, the system estimates the perceived difficulty of gestures by the patient, and automatically adjusts the game behavior to ensure a highly engaging and adaptive gaming experience. Furthermore, multimodal instructions are conveyed to users with details on joints that are not performing as expected, and to guide them towards improving the current gesture. A pilot study has been conducted to prove the usability and effectiveness of our adaptive physiotherapy solution.
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