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Preprocessing, AOIs, and Feature Engineering

Declare 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)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.