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- acc_corr(acc_dfs, names=None, time_window=30)
- get the correlation of acceleration across soldiers
input: list of acceleration dfs for movement periods
output: avearage over correlation matrix for each timepoint
- get_accel(vel_dfs, names, UTM=True)
- Get acceleration from velocity datasets using another differencing
Args:
vel_dfs (list): list of velocity (first difference) DataFrames
names (list): list of solider names
UTM (bool, optional): True if using UTM data, false if GPS data. Defaults to True.
Returns:
acc_dfs (list): DataFrames containing accelleration data
- get_vel_feats(vel_dfs)
- Get some velocity features from velocity datasets
Variance: how each soldiers velocity varies throughout each movement period
Difference: how different is the speed of the fastest soldier vs speed of slowest soldier
Args:
vel_dfs (list): list of velocity (first difference) DataFrames
Returns:
vel_var (list): list of varainces for the velocity dataframe
vel_diff (list): list of max difference over time for soldier velocities
- get_velocities(smoothed_movements, names, UTM=True)
- Get velocities from smoothed datasets using the first difference
Args:
smoothed_movements (list): list of extra smooth DataFrames
names (list): list of individual's names
UTM (bool, optional): True if using UTM data, false if GPS data. Defaults to True.
Returns:
vel_dfs (list): DataFrames of first differences from the
- vel_corr(vel_dfs, time_window=30)
- get the correlation of velocity across soldiers
Args:
vel_dfs (list of DataFrames): list of velosity DataFrames
time_window (int, optional): time window for calculating at velocity correlation. Defaults to 30.
Returns:
corr_dfs (list of DataFrames): list of dataframes with velocity correlation within the group over time
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