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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
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