谁是艾丽克斯?一种新的XR用户识别行为生物特征数据集

IF 3.2 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING Frontiers in virtual reality Pub Date : 2023-11-10 DOI:10.3389/frvir.2023.1272234
Rack, Christian, Fernando, Tamara, Yalcin, Murat, Hotho, Andreas, Latoschik, Marc Erich
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引用次数: 0

摘要

本文介绍了一个新的数据集,其中包含了玩游戏“半条命:Alyx”的用户的运动和生理数据。该数据集专门针对XR用户的行为和生物特征识别。它包括由HTC Vive Pro捕捉的动作和眼球追踪数据,71名用户分别在两天内玩了45分钟的游戏。此外,我们还收集了其中31名用户的生理数据。我们为基于动作的XR用户识别任务提供了两个突出的最先进的深度学习架构(GRU和CNN)的基准性能。在对每个用户的第一个会话进行训练后,最佳模型可以在2分钟内识别出第二个会话的71个用户,平均准确率为95%。该数据集可在https://github.com/cschell/who-is-alyx免费获得
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Who is Alyx? A new behavioral biometric dataset for user identification in XR
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 identification of XR users. It includes motion and eye-tracking data captured by a HTC Vive Pro of 71 users playing the game on two separate days for 45 minutes. Additionally, we collected physiological data from 31 of these users. We provide benchmark performances for the task of motion-based identification of XR users with two prominent state-of-the-art deep learning architectures (GRU and CNN). After training on the first session of each user, the best model can identify the 71 users in the second session with a mean accuracy of 95% within 2 minutes. The dataset is freely available under https://github.com/cschell/who-is-alyx
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CiteScore
5.80
自引率
0.00%
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0
审稿时长
13 weeks
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