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Table 1 Statistics used to describe acceleration waveforms

From: Observing the unwatchable through acceleration logging of animal behavior

Summary statistic

Representative source(s)

Mean

[20, 23, 38]

Running mean for continuous data

[107, 111]

Minimum, Maximum, Range

[125, 130, 163]

Variance

[23, 36, 112]

Standard deviation

Inverse coefficient of variation

[62, 112]

Resultant

Overall dynamic body acceleration

[79, 103]

Vector dynamic body acceleration

[112]

Subsequent-measurement autocorrelation

[62]

Trend (linear regression coefficient through axis data)

Pair-wise correlations between axes data

Inclination, azimuth of resultant and their circular variances

Frequency power spectrum

Fast Fourier transformation

[43, 48, 57, 126, 129]

Continuous wavelet transformation

[164]

Δ acceleration

[20]

Δ frequency

Waveform frequency

[43, 130]

Waveform period and amplitude

[32, 164]

Area under the waveform curve

[163]

Skewness and kurtosis of the waveform

[165]

Signal magnitude area

[166]

Waveform length

Waveform inheritance