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Table 2 Features employed in this study

From: Voiceless Bangla vowel recognition using sEMG signal

Domain

Name of the features

Number of features

Time based

Average, maximum, standard deviation, minimum, variance, CoV, skewness, kurtosis, RMS

9

Entropy based

Hjorth mobility, Hjorth complexity, mean of lower envelop, mean of upper envelop, mean diff operator, Higuchi fractal dimension, Higuchi algorithmic entropy, renyi entropy, shannon entropy, Tsallis entropy, Hurst exponential, approximate entropy, sample entropy

13

Frequency based

Spectral flatness, spectral flux, spectral entropy, spectral edge frequency (SEF) 80, spectral edge power (SEF) 80, spectral edge frequency (SEF) 90, spectral edge power (SEF) 90, spectral edge frequency (SEF) 95, spectral edge power (SEF) 95

9

Time–frequency

Symlet 4 wavelet family and decomposition level:3. Entropy (e), variance(V), standard deviation, median (s), average, ration of maximum and min of 4 decomposing s vector’s. Percentage of energy corresponding to the approximation, percentage of energy corresponding to the details

26

Total 57