Mixed Reality-based Exergames for Upper Limb Robotic Rehabilitation

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580124

Nadia Vanessa Garcia Hernandez, S. Buccelli, M. Laffranchi, L. D. De Michieli

引用次数: 0

Abstract

Robotic rehabilitation devices are showing strong potential for intensive, task-oriented, and personalized motor training. Integrating Mixed Reality (MR) technology and tangible objects in these systems allow the creation of attractive, stimulating, and personalized hybrid environments. Using a gamification approach, MR-based robotic training can increase patients' motivation, engagement, and experience. This paper presents the development of two Mixed Reality-based exergames to perform bimanual exercises assisted by a shoulder rehabilitation exoskeleton and using tangible objects. The system design was completed by adopting a user-centered iterative process. The system evaluates task performance and cost function metrics from the kinematic analysis of the hands' movement. A preliminary evaluation of the system is presented, which shows the correct operation of the system and the fact that it stimulates the desired upper limb movements.

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基于混合现实的上肢机器人康复运动游戏

机器人康复设备在强化、任务导向和个性化运动训练方面显示出强大的潜力。在这些系统中集成混合现实(MR)技术和有形对象，可以创建有吸引力、刺激和个性化的混合环境。使用游戏化方法，基于核磁共振的机器人训练可以提高患者的积极性、参与度和经验。本文介绍了两种基于混合现实的运动游戏的发展，以肩部康复外骨骼和使用有形物体辅助进行双手练习。采用以用户为中心的迭代过程完成系统设计。该系统从手部运动的运动学分析中评估任务性能和成本函数指标。对该系统进行了初步的评估，结果表明该系统的操作是正确的，并且能够刺激期望的上肢运动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.