Design of a Single-Degree-of-Freedom Immersive Rehabilitation Device for Clustered Upper-Limb Motion
| Autor: | Guan Haiwei, Deng Xueting, Haodong Chen, Yating Zhang, Ping Zhao |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Rehabilitation
Computer science Mechanical Engineering medicine.medical_treatment Kinematics Virtual reality Motion (physics) 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure medicine Upper limb 030212 general & internal medicine User interface Single degree of freedom 030217 neurology & neurosurgery Simulation ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Journal of Mechanisms and Robotics. 13 |
| ISSN: | 1942-4310 1942-4302 |
| DOI: | 10.1115/1.4050150 |
| Popis: | Mechanical devices such as robots are widely adopted for limb rehabilitation. Due to the variety of human body parameters, the rehabilitation motion for different patients usually has its individual pattern; hence, we adopt clustering-based machine learning technique to find a limited number of motion patterns for upper-limb rehabilitation, so that they could represent the large amount of those from people who have various body parameters. By using the regression motion of the clustering result as the target, in this article, we seek to apply kinematic mapping-based motion synthesis framework to design a 1-degree-of-freedom (DOF) mechanism, such that it could lead the patients’ upper limb through the target motion. Also, considering rehab training generally involves a large amount of repetition on a daily basis, this article has developed a rehab system with unity3d based on virtual reality (VR). The proposed device and system could provide an immersive experience to the users, as well as the rehab motion data to the administrative staff for evaluation of users’ status. The construction of the integrated system and the experimental trial of the prototype are presented at the end of this article. |
| Databáze: | OpenAIRE |
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