Observing the unwatchable through acceleration logging of animal behavior

Table 1 Statistics used to describe acceleration waveforms

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		[23, 36, 112]
Inverse coefficient of variation		[62, 112]
Resultant		[62, 112]
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]
Frequency power spectrum	Continuous wavelet transformation	[164]
Δ acceleration		[20]
Δ frequency		[20]
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