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https://hdl.handle.net/10356/170247
Title: | Jamming enabled variable stiffness wrist exoskeleton for tremor suppression | Authors: | Wang, Guohui Wang, Hailu Gao, Weinan Yang, Xudong Wang, Yifan |
Keywords: | Engineering::Mechanical engineering | Issue Date: | 2023 | Source: | Wang, G., Wang, H., Gao, W., Yang, X. & Wang, Y. (2023). Jamming enabled variable stiffness wrist exoskeleton for tremor suppression. IEEE Robotics and Automation Letters, 8(6), 3693-3700. https://dx.doi.org/10.1109/LRA.2023.3270747 | Project: | M21K2c0118 A2084c0162 MOH-001184-01 NAP (020482) |
Journal: | IEEE Robotics and Automation Letters | Abstract: | Parkinson's disease is a chronic disorder that affects the central nervous system of patients. It affects millions of aging populations around the world every year. Approximately 80% of Parkinson's disease patients suffer from tremors which significantly reduce their life quality. In this study, we present a variable stiffness wrist exoskeleton (VSW-Exo) that is lightweight (less than 300 g on the wrist) and can effectively suppress wrist tremors in all three degrees of freedom. The functioning material of the variable stiffness unit is a novel chain mail-like structured fabric whose stiffness can be pneumatically controlled over a wide range under the jamming transition. Bending and Torsion tests are performed to characterize the VSW-Exo's damping force and torque. To evaluate the VSW-Exo's performance on human bodies, we devise vibration experiments to evaluate the prototype's performance on tremor suppression. The testing results show that our VSW-Exo's tremor suppression efficiency can reach up from 64.11 ± 10.92% to 67.24 ± 6.74%. Compared to other tremor suppression devices, our VSW-Exo can provide enough damping forces and torques to suppress tremors in all 3 directions with high efficiency and low weight on the wrist. | URI: | https://hdl.handle.net/10356/170247 | ISSN: | 2377-3766 | DOI: | 10.1109/LRA.2023.3270747 | Schools: | School of Mechanical and Aerospace Engineering | Rights: | © 2023 IEEE. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | MAE Journal Articles |
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