Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering and also with Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan.
Sensors (Basel). 2024 Jan 15;24(2):528. doi: 10.3390/s24020528.
The steady increase in the aging population worldwide is expected to cause a shortage of doctors and therapists for older people. This demographic shift requires more efficient and automated systems for rehabilitation and physical ability evaluations. Rehabilitation using mixed reality (MR) technology has attracted much attention in recent years. MR displays virtual objects on a head-mounted see-through display that overlies the user's field of vision and allows users to manipulate them as if they exist in reality. However, tasks in previous studies applying MR to rehabilitation have been limited to tasks in which the virtual objects are static and do not interact dynamically with the surrounding environment. Therefore, in this study, we developed an application to evaluate cognitive and motor functions with the aim of realizing a rehabilitation system that is dynamic and has interaction with the surrounding environment using MR technology. The developed application enabled effective evaluation of the user's spatial cognitive ability, task skillfulness, motor function, and decision-making ability. The results indicate the usefulness and feasibility of MR technology to quantify motor function and spatial cognition both for static and dynamic tasks in rehabilitation.
预计全球人口老龄化的稳步增长将导致老年人医生和治疗师的短缺。这种人口结构的转变需要更高效和自动化的康复和身体能力评估系统。近年来,混合现实 (MR) 技术在康复中的应用引起了广泛关注。MR 通过头戴式透视显示器将虚拟物体显示在用户的视野上,使用户能够像在现实中一样操纵它们。然而,以前应用 MR 进行康复的研究中的任务仅限于虚拟物体是静态的任务,并且不会与周围环境动态交互。因此,在本研究中,我们开发了一个应用程序来评估认知和运动功能,旨在利用 MR 技术实现具有动态性和与周围环境交互的康复系统。开发的应用程序能够有效地评估用户的空间认知能力、任务熟练程度、运动功能和决策能力。结果表明,MR 技术在量化康复中静态和动态任务的运动功能和空间认知方面具有实用性和可行性。