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Instance-based Learning with Prototype Reduction for Real-Time Proportional Myocontrol: A Randomized User Study Demonstrating Accuracy-preserving Data Reduction for Prosthetic Embedded Systems
This work presents the design, implementation and validation of learning techniques based on the kNN scheme for gesture detection in prosthetic control.
KNN Learning Techniques for Proportional Myocontrol in Prosthetics
This work has been conducted in the context of pattern-recognition-based control for electromyographic prostheses.
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