6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.HC2023
Instance-based Learning with Prototype Reduction for Real-Time Proportional Myocontrol: A Randomized User Study Demonstrating Accuracy-preserving Data Reduction for Prosthetic Embedded Systems
Tim Sziburis, Markus Nowak, Davide Brunelli
This work presents the design, implementation and validation of learning techniques based on the kNN scheme for gesture detection in prosthetic control. To cope with high computati…
eess.SP2021
KNN Learning Techniques for Proportional Myocontrol in Prosthetics
Tim Sziburis, Markus Nowak, Davide Brunelli
This work has been conducted in the context of pattern-recognition-based control for electromyographic prostheses. It presents a k-nearest neighbour (kNN) classification technique…
cs.RO2019★ 6 cited
Automatic Detection of Myocontrol Failures Based upon Situational Context Information
Karoline Heiwolt, Claudio Zito, Markus Nowak +2
Myoelectric control systems for assistive devices are still unreliable. The user's input signals can become unstable over time due to e.g. fatigue, electrode displacement, or sweat…