Frontiers in Virtual Reality (Nov 2023)

Who is Alyx? A new behavioral biometric dataset for user identification in XR

  • Christian Rack,
  • Tamara Fernando,
  • Murat Yalcin,
  • Andreas Hotho,
  • Marc Erich Latoschik

DOI
https://doi.org/10.3389/frvir.2023.1272234
Journal volume & issue
Vol. 4

Abstract

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Introduction: This paper addresses the need for reliable user identification in Extended Reality (XR), focusing on the scarcity of public datasets in this area.Methods: We present a new dataset collected from 71 users who played the game “Half-Life: Alyx” on an HTC Vive Pro for 45 min across two separate sessions. The dataset includes motion and eye-tracking data, along with physiological data from a subset of 31 users. Benchmark performance is established using two state-of-the-art deep learning architectures, Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU).Results: The best model achieved a mean accuracy of 95% for user identification within 2 min when trained on the first session and tested on the second.Discussion: The dataset is freely available and serves as a resource for future research in XR user identification, thereby addressing a significant gap in the field. Its release aims to facilitate advancements in user identification methods and promote reproducibility in XR research.

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