gazeMapper

gazeMapper automates the mapping and processing of eye-tracking data from wearable eye trackers, transforming head-centered data to world-centered reference frames and synchronizing multi-participant recordings.

Key Features:

• World-plane mapping: Transforms head-centered eye-tracking data to planes in the world such as screens and tabletops.
• Multi-recorder synchronization: Synchronizes recordings from multiple participants.
• Data quality assessment: Determines data quality measures including accuracy and precision.
• Multi-device support: Supports 11 wearable eye trackers from AdHawk, Meta, Pupil, SeeTrue, SMI, Tobii, and Viewpointsystem.

Scientific Applications:

• Multi-participant gaze analysis: Enables automated analysis of gaze data from one or multiple wearable eye trackers in world-centered coordinates.
• Fiducial marker-free mapping: Provides an alternative to expensive, difficult-to-implement, eye tracker-specific fiducial marker-based mapping methods.

Methodology:

gazeMapper performs automated mapping of head-centered eye-tracking data to world planes without requiring fiducial markers, and can be used as a Python library.