Publications (6)
Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
Lukas Schach, Christian Rack, Ryan P. McMahan +1
This paper examines the generalization capacity of two state-of-the-art classification and similarity learning models in reliably identifying users based on their motions in variou…
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data
Vivek Nair, Christian Rack, Wenbo Guo +8
Motion tracking "telemetry" data lies at the core of nearly all modern virtual reality (VR) and metaverse experiences. While generally presumed innocuous, recent studies have demon…
Effect of Duration and Delay on the Identifiability of VR Motion
Mark Roman Miller, Vivek Nair, Eugy Han +7
Social virtual reality is an emerging medium of communication. In this medium, a user's avatar (virtual representation) is controlled by the tracked motion of the user's headset an…
Who Is Alyx? A new Behavioral Biometric Dataset for User Identification in XR
Christian Rack, Tamara Fernando, Murat Yalcin +2
This article presents a new dataset containing motion and physiological data of users playing the game "Half-Life: Alyx". The dataset specifically targets behavioral and biometric…
Versatile User Identification in Extended Reality using Pretrained Similarity-Learning
Christian Rack, Konstantin Kobs, Tamara Fernando +2
Various machine learning approaches have proven to be useful for user verification and identification based on motion data in eXtended Reality (XR). However, their real-world appli…
Effect of Data Degradation on Motion Re-Identification
Vivek Nair, Mark Roman Miller, Rui Wang +4
The use of virtual and augmented reality devices is increasing, but these sensor-rich devices pose risks to privacy. The ability to track a user's motion and infer the identity or…