Determination of Optimum Segmentation Schemes for Pattern Recognition-Based Myoelectric Control: A Multi-Dataset Investigation

Determination of Optimum Segmentation Schemes for Pattern Recognition-Based Myoelectric Control: A Multi-Dataset Investigation

Pattern recognition (PR) algorithms have shown promising results for upper limb myoelectric control (MEC). Several studies have explored the efficacy of different pre and post processing techniques in implementing PR-based MECs. This paper explores the effect of segmentation type (disjoint and overl...

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Bibliographic Details
Main Authors: Hassan Ashraf, Asim Waris, Mohsin Jamil, Syed Omer Gilani, Imran Khan Niazi, Ernest Nlandu Kamavuako, Syed Hammad Nazeer Gilani
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Classification
machine learning
pattern recognition
segmentation
windowing
Online Access:https://ieeexplore.ieee.org/document/9093838/

Internet

https://ieeexplore.ieee.org/document/9093838/

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