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Table 2 On-board runtimes during feature calculations. Where features have been grouped in one row the total runtime for the calculations of all features is total listed. Under “Note” any dependencies for the calculation of the feature are listed. “Gross time” identifies the total runtime for the listed feature and its dependencies

From: An evaluation of machine learning classifiers for next-generation, continuous-ethogram smart trackers

Feature(abbreviation)

Net time(ms)

Gross time(ms)

Number of features calculated

Note

Mean(mean)

0.021

0.021

3

 

Variance(var)

0.025

0.046

3

mean

Standard deviation(sd)

0.003

0.049

3

mean, var

Coefficient of variance

0.002

0.051

3

mean, sd

Skewness

0.361

0.41

3

mean, sd

Kurtosis

0.367

0.416

3

mean, sd

Maximum(max)

0.029

0.029

3

 

Minimum(min)

0.029

0.029

3

 

Range

0.001

0.059

3

max, min

Euclidean norm

0.017

0.017

3

 

Covariance(cov)

0.033

0.054

3

mean

Correlation

0.002

0.084

3

sd, cov

Mean difference(meandiff)

0.026

0.026

3

 

Standard deviation of difference

0.035

0.061

3

meandiff

Variance of static body acceleration

Variance of dynamic body acceleration

Mean dynamic body acceleration

Maximum dynamic body acceleration

Overall dynamic body acceleration

0.279

0.279

13

 

Pitch

0.039

0.06

1

mean

Roll

0.049

0.07

1

mean

Mean difference of continuous points(meandl)

0.178

0.178

3

 

Variance of difference of continuous points

0.025

0.203

3

meandl

Main frequency

Amplitude of main frequency

0.258

0.258

6

 

25% quantile

50% quantile

75% quantile

0.94

0.94

9

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