SUPERVISORY CONTROL AND INTENT RECOGNITION OF A POWERED KNEE AND ANKLE PROSTHESIS
This work describes a control architecture and intent recognition approach for the real-time supervisory control of a powered lower limb prosthesis. The proposed approach infers user intent to stand, sit, or walk, by recognizing patterns in prosthesis sensor data in real-time, without the need for i...
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Format: | Others |
Language: | en |
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VANDERBILT
2009
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Online Access: | http://etd.library.vanderbilt.edu/available/etd-07242009-230741/ |