Nothing
knitr::opts_chunk$set(collapse = TRUE, comment = "#>", eval = FALSE)
The adapter layer converts source-specific exports into explicit canonical records, streams, samples, eye samples, episodes, events, intervals, AOIs, biometrics, quality results, and provenance.
detect_eye_format("participant-01.tsv") x <- read_eye_export("participant-01.tsv", vendor = "auto")
Detection is intentionally conservative. If no adapter is sufficiently confident, use an explicit mapping.
mapping <- eye_mapping( participant = "subject", recording = "recording", timestamp = "timestamp_us", x = "gaze_x", y = "gaze_y", pupil_left = "pupil_left_mm", pupil_right = "pupil_right_mm", trial = "trial_id", item = "item_id", response = "answer", score = "correct", response_time = "response_time_ms" ) x <- read_eye_generic( "export.csv", mapping = mapping, time_unit = "microseconds", coordinate_space = "display_pixels_top_left", screen_width = 1920, screen_height = 1080, pupil_unit = "millimetres" )
tobii <- read_tobii("tobii-pro-lab.tsv") neon <- read_pupil_neon("neon-export-folder") core <- read_pupil_core("pupil-player-export") eyelink <- read_eyelink_asc("recording.asc") smi <- read_smi("begaze-export.txt")
x$raw x$vendor_metadata x$coordinate_spaces x$streams x$provenance audit_coordinate_spaces(x) audit_timebase(x) audit_clock_sync(x)
No coordinate conversion, interpolation, resampling, or event reclassification should occur silently.
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