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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Martin, P. Emami, M.R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Space Mechatronics group and Aerospace Undergraduate Laboratories at the University of Toronto Institute for Aerospace Studies, Ontario M3H 5T6 Canada (Emami, M.R.) || Space Mechatronics Group with the University of Toronto Institute for Aerospace Studies, Ontario, M3H 5T6 Canada (Martin, P.) |
| Abstract | This paper proposes a method for the design of a real-time fuzzy trajectory generator for the robotic rehabilitation of patients with upper limb dysfunction due to neurological diseases. The system utilizes a fuzzy-logic schema to introduce compliance into the human-robot interaction, and to allow the emulation of a wide variety of therapy techniques. This approach also allows for the fine-tuning of system dynamics using linguistic variables. The rule base for the system is trained using a fuzzy clustering approach based on experimental data gathered during traditional therapy sessions. The trajectory generator will be packaged as a platform-independent solution to facilitate the rehabilitation of patients using multiple manipulator configurations. |
| Starting Page | 354 |
| Ending Page | 359 |
| File Size | 543046 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424437887 |
| ISSN | 19457898 |
| DOI | 10.1109/ICORR.2009.5209533 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-23 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mechatronics Costs Educational robots Robot kinematics Design methodology Velocity control Medical treatment Rehabilitation robotics Large-scale systems Force control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Rehabilitation Control and Systems Engineering Electrical and Electronic Engineering |
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