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 |