The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Design of a haptic arm exoskeleton for training and rehabilitation
Abstract
A high-quality haptic interface is typically characterized by low apparent inertia and damping, high structural stiffness, minimal backlash, and absence of mechanical singularities in the workspace. In addition to these specifications, exoskeleton haptic interface design involves consideration of space and weight limitations, workspace requirements, and the kinematic constraints placed on the device by the human arm. These constraints impose conflicting design requirements on the engineer attempting to design an arm exoskeleton. In this paper, the authors present a detailed review of the requirements and constraints that are involved in the design of a high-quality haptic arm exoskeleton. In this context, the design of a five-degree-of-freedom haptic arm exoskeleton for training and rehabilitation in virtual environments is presented. The device is capable of providing kinesthetic feedback to the joints of the lower arm and wrist of the operator, and will be used in future work for robot-assisted rehabilitation and training. Motivation for such applications is based on findings that show robot-assisted physical therapy aids in the rehabilitation process following neurological injuries. As a training tool, the device provides a means to implement flexible, repeatable, and safe training methodologies.
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Cites
Haptic guidance: experimental evaluation of a haptic training method for a perceptual motor skill
Feygin, D., Keehner, M., & Tendick, R. (2003) · Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002 · doi:10.1109/haptic.2002.998939 · Cited by 394
Augmented Feedback Presented in a Virtual Environment Accelerates Learning of a Difficult Motor Task
Todorov, E., Shadmehr, R., & Bizzi, E. (1997) · Journal of Motor Behavior · doi:10.1080/00222899709600829 · Cited by 314
Cited by
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Chen, X., Gong, L., Wei, L., Yeh, S.-C., Da Xu, L., Zheng, L., & Zou, Z. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3010369 · Cited by 194
Wireality: Enabling Complex Tangible Geometries in Virtual Reality with Worn Multi-String Haptics
Fang, C., Zhang, Y., Dworman, M., & Harrison, C. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376470 · Cited by 149
Voluntary-Driven Elbow Orthosis with Speed-Controlled Tremor Suppression
Herrnstadt, G., & Menon, C. (2016) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2016.00029 · Cited by 49
An assisted telemanipulation approach: combining autonomous grasp planning with haptic cues
Adjigble, M., Marturi, N., Ortenzi, V., & Stolkin, R. (2019) · 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros40897.2019.8968454 · Cited by 19
A compliant metastructure design with reconfigurability up to six degrees of freedom
Yang, H., Patel, D. K., Johnson, T., Zhong, K., Olson, G., Majidi, C., Islam, M. F., Zhang, T., & Yao, L. (2025) · Nature Communications · doi:10.1038/s41467-024-55591-2 · Cited by 17
Metadata
- Authors
- Gupta, A., & O'Malley, M. K.
- Venue
- IEEE/ASME Transactions on Mechatronics
- Published
- 2006-06
- Volume
- 11
- Issue
- 3
- Pages
- 280-289
- ISSN
- 1083-4435 (ISSN-L)
- OpenAlex
- W2106383691
- Cited by
- 328
- References
- 2
- FWCI
- 10.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gupta, A., & O'Malley, M. K. (2006). Design of a haptic arm exoskeleton for training and rehabilitation. IEEE/ASME Transactions on Mechatronics. https://doi.org/10.1109/tmech.2006.875558
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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