| Autor: |
Tada K; Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering and also with Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan., Sorimachi Y; Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering and also with Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan., Kutsuzawa K; Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering and also with Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan., Owaki D; Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering and also with Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan., Hayashibe M; Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering and also with Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan. |
| Abstrakt: |
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. |
