2021
DOI: 10.3389/frobt.2021.710806
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Genetic Algorithm for Feature Selection in Lower Limb Pattern Recognition

Abstract: Choosing the right features is important to optimize lower limb pattern recognition, such as in prosthetic control. EMG signals are noisy in nature, which makes it more challenging to extract useful information. Many features are used in the literature, which raises the question which features are most suited for use in lower limb myoelectric control. Therefore, it is important to find combinations of best performing features. One way to achieve this is by using a genetic algorithm, a meta-heuristic capable of… Show more

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Cited by 14 publications
(3 citation statements)
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“…In this subsection, the IBGA that consists of F score method as a fast method and BGA as an accurate method will be evaluated and compared to many of the modern feature selection methods and also compared to the original dataset without feature selection (Original). The modern selection methods used in the comparison are Genetic Algorithm (GA) [ 2 , 27 , 28 ], Feature Selection via Directional Outliers Correcting (FSDOC) [36] , Orthogonal Least Squares (OLS) based feature selection method [37] , the Modified Grasshopper Optimization Algorithm (MGOA) [38] , and Stochastic Diffusion Search (SDS) algorithm [29] . To evaluate these features selection methods, NB classifier is used as a standard method [ 29 , 30 , 31 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this subsection, the IBGA that consists of F score method as a fast method and BGA as an accurate method will be evaluated and compared to many of the modern feature selection methods and also compared to the original dataset without feature selection (Original). The modern selection methods used in the comparison are Genetic Algorithm (GA) [ 2 , 27 , 28 ], Feature Selection via Directional Outliers Correcting (FSDOC) [36] , Orthogonal Least Squares (OLS) based feature selection method [37] , the Modified Grasshopper Optimization Algorithm (MGOA) [38] , and Stochastic Diffusion Search (SDS) algorithm [29] . To evaluate these features selection methods, NB classifier is used as a standard method [ 29 , 30 , 31 ].…”
Section: Resultsmentioning
confidence: 99%
“…According to figure 7 , after implementing F Score , IBGA begins with a population that contains many chromosomes in which each chromosome consists of a series of genes in form of bits [ 27 , 28 ]. The length of each chromosome is the number of features in dataset with binary values (0 or 1) where ‘1’ in the j th position in the chromosome means that the j th feature is selected and ‘0’ means that the j th feature is removed.…”
Section: The Proposed Covid-19 Prudential Expectation Strategy (Cpes)mentioning
confidence: 99%
“…Another study conducted by Schulte et al also performed feature selection on lower limb pattern recognition. In this study, Schulte et al performed feature selection using the Genetic Algorithm which resulted in lower errors than without feature selection [10].…”
Section: Introductionmentioning
confidence: 99%