GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality
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Abstract (arXiv)
We present GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking (ET) dataset collected at 250 Hz with an ET-enabled virtual-reality (VR) headset. GazeBaseVR comprises 5,020 binocular recordings from a diverse population of 407 college-aged participants. Participants were recorded up to six times each over a 26-month period, each time performing a series of five different ET tasks: (1) a vergence task, (2) a horizontal smooth pursuit task, (3) a video-viewing task, (4) a self-paced reading task, and (5) a random oblique saccade task. Many of these participants have also been recorded for two previously published datasets with different ET devices, and some participants were recorded before and after COVID-19 infection and recovery. GazeBaseVR is suitable for a wide range of research on ET data in VR devices, especially eye movement biometrics due to its large population and longitudinal nature. In addition to ET data, additional participant details are provided to enable further research on topics such as fairness.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Oct 2022.
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Citing papers per year: 2024: 3; 2025: 4; 2026: 4.
11 papers.
- 2024Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Datasetcited by 4
- 2024Temporal Persistence and Intercorrelation of Embeddings Learned by an End-to-End Deep Learning Eye Movement-driven Biometrics Pipelinecited by 2
- 2025Ocular Authentication: Fusion of Gaze and Periocular Modalitiescited by 2
- 2024Biometrics in Extended Reality: A Reviewcited by 1
- 2025Will You Be Aware? Eye Tracking-Based Modeling of Situational Awareness in Augmented Realitycited by 0
- 2025Gaze Authentication: Factors Influencing Authentication Performancecited by 0
- 2025Deep Learning-Based Visual Fatigue Detection Using Eye Gaze Patterns in VRcited by 0
- 2026Eye-Tracking-while-Reading: A Living Survey of Datasets with Open Library Supportcited by 0
- 2026Enhancing Eye Movement Biometrics for User Authentication via Continuous Gaze Offset Score Fusioncited by 0
- 2026Modality vs. Morphology: A Framework for Time Series Classification for Biological Signalscited by 0
- 2026Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XRcited by 0
- 2026Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR4 Sep 2026
- 2026Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals18 May 2026
- 2026Enhancing Eye Movement Biometrics for User Authentication via Continuous Gaze Offset Score Fusion7 May 2026
- 2026Eye-Tracking-while-Reading: A Living Survey of Datasets with Open Library Support23 Feb 2026
- 2025Deep Learning-Based Visual Fatigue Detection Using Eye Gaze Patterns in VR14 Oct 2025
- 2025Gaze Authentication: Factors Influencing Authentication Performance13 Sep 2025
- 2025Will You Be Aware? Eye Tracking-Based Modeling of Situational Awareness in Augmented Reality7 Aug 2025
- 2025Ocular Authentication: Fusion of Gaze and Periocular Modalities22 May 2025
- 2024Biometrics in Extended Reality: A Review14 Nov 2024
- 2024Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Dataset17 Apr 2024
- 2024Temporal Persistence and Intercorrelation of Embeddings Learned by an End-to-End Deep Learning Eye Movement-driven Biometrics Pipeline26 Feb 2024