We propose a subset selection approach based on biomechanical characteristics, a simple yet effective technique for MTS. We apply our approach for recognizing ...
set of features can be extremely time-consuming.[7]. We present a new method for finding the subset data that are well suited for hand gesture recognition.
The objective of feature subset selection is two-fold: providing a faster and more cost-effective process and a better understanding of the underlying process ...
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We propose a subset selection approach based on biomechanical characteristics, a simple yet effective technique for MTS. We apply our approach for recognizing ...
The results showed that the LDA classifier based on the proposed features achieved high classification accuracy for classifying 17 gestures. The LDA classifier ...
Missing: BioMechanical | Show results with:BioMechanical
Effective feature extraction and selection are crucial for the accurate classification and prediction of hand gestures based on electromyographic signals.
... utilising mechanical and biomechanical characteristics ... Feature Subset Selection Utilizing BioMechanical Characteristic for Hand Gesture Recognition.
Oct 30, 2017 · In this research, an approach is proposed for feature subset selection preparing for hand gestures recognition. The process is first based ...
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Oct 22, 2021 · Due to the obvious mechanical characteristics of hand gestures ... The selected classical features based on EMG for hand gesture recognition.
It plays a vital role in identifying muscle-related problems for clinical diagnosis. This paper presents an efficient EMG feature selection technique for ...