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 | ||