nivlink.preprocessing.compute_fixations¶

nivlink.preprocessing.compute_fixations(aligned, info, labels=None)[source]¶

Compute fixations from aligned timeseries. Fixations are defined as contiguous samples of eyetracking data aligned to the same AoI.

Parameters:	aligned : array, shape (n_trials, n_times) Eyetracking timeseries aligned to areas of interest. info : instance of ScreenInfo Eyetracking acquisition information. labels : list List of areas of interest to include in processing. Defaults to info.labels.
Returns:	fixations : pd.DataFrame Pandas DataFrame where each row details the (Trial, AoI, Onset, Offset, Duration) of the fixation.