An Assessment of the Eye Tracking Signal Quality Captured in the HoloLens 2
This work addresses signal quality issues in the HoloLens 2 eye tracker for researchers and developers in augmented reality, but it is incremental as it focuses on evaluation and recalibration without introducing new methods.
The study assessed the eye tracking signal quality of the HoloLens 2 by analyzing data from 30 healthy adults during a random saccades task, finding that the data appeared uncalibrated and recalibration improved quality in terms of spatial accuracy, precision, and other metrics.
We present an analysis of the eye tracking signal quality of the HoloLens 2s integrated eye tracker. Signal quality was measured from eye movement data captured during a random saccades task from a new eye movement dataset collected on 30 healthy adults. We characterize the eye tracking signal quality of the device in terms of spatial accuracy, spatial precision, temporal precision, linearity, and crosstalk. Most notably, our evaluation of spatial accuracy reveals that the eye movement data in our dataset appears to be uncalibrated. Recalibrating the data using a subset of our dataset task produces notably better eye tracking signal quality.