
Preprocessing, AOIs, and Feature Engineering
Source:vignettes/preprocessing-features.Rmd
preprocessing-features.RmdDeclare preprocessing
spec <- preprocess_spec(
gaze_filter = "median",
gaze_window = 5,
pupil_interpolation = "linear",
pupil_max_gap_ms = 150,
pupil_filter = "median",
pupil_window = 5,
pupil_baseline = "subtract",
fixation_algorithm = "ivt",
fixation_parameters = list(velocity_threshold = 30)
)
x <- preprocess_eye(x, spec)Vendor-produced episodes are retained separately from package-derived
episodes through source_algorithm,
source_parameters, and derived_by.
Static and dynamic AOIs
x <- register_aois(
x,
new_aoi("prompt", x = 0.00, y = 0.00, width = 0.45, height = 1.00),
new_aoi("options", x = 0.45, y = 0.00, width = 0.55, height = 1.00)
)
x <- assign_aois(x, component = "gaze_samples")
x <- build_aoi_visits(x)A dynamic AOI is represented by one definition and multiple geometry rows with explicit validity intervals or frame identifiers.
Declared features
fspec <- feature_spec(
level = "trial_aoi",
include_post_response = FALSE,
response_time = TRUE,
biometrics = TRUE
)
x <- derive_all_features(x, fspec)
features_wide(x)
feature_dictionary(x)Sensitivity analysis
compare_preprocessing(x, list(raw = preprocess_spec(), filtered = spec))
compare_aoi_definitions(x, list(primary = primary_aois, alternative = alternative_aois))
check_process_leakage(x)
check_feature_level(x)