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 |