GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking

GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking
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DOI:
10.1109/tmc.2023.3255841
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发表时间:
2023-03
影响因子:
7.9
通讯作者:
Matthew Corbett;Jiacheng Shang;Bo Ji
Matthew Corbett;Jiacheng Shang;Bo Ji
中科院分区:
计算机科学2区
文献类型:
--
作者:
Matthew Corbett;Jiacheng Shang;Bo Ji

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随着增强现实(AR)设备变得更加普遍和在商业上可行,对快速、高效和安全的设备配对方案的需求变得更加迫切。目前安全交换全息图的方法需要用户通过大型数据中心发送这些信息,这引发了安全和隐私方面的担忧。在本地网络上配对这些设备并共享信息的现有技术在可用性和可扩展性方面存在不足。这些技术要么需要AR设备上没有的硬件、复杂的物理手势、从头上移除设备、不能扩展到多个配对伙伴,要么依赖于低熵的方法来创建加密密钥。为此,我们提出了一种新的配对系统GazePair,它通过创建一个高效、有效和直观的配对协议来改进所有现有的局部配对技术。GazePair使用眼睛凝视跟踪和语音密钥序列线索(Ksc)来生成相同的、独立生成的对称加密密钥,并使用的熵比特。GazePair在配对成功率和配对时间方面也比目前的方法有所改进。此外,我们还展示了GazePair可以扩展到多个用户。最后,我们断言GazePair可以用于任何配备眼睛凝视跟踪的混合现实(MR)设备。
As Augmented Reality (AR) devices become more prevalent and commercially viable, the need for quick, efficient, and secure schemes for pairing these devices has become more pressing. Current methods to securely exchange holograms require users to send this information through large data centers, creating security and privacy concerns. Existing techniques to pair these devices on a local network and share information fall short in terms of usability and scalability. These techniques either require hardware not available on AR devices, intricate physical gestures, removal of the device from the head, do not scale to multiple pairing partners, or rely on methods with low entropy to create encryption keys. To that end, we propose a novel pairing system, called GazePair, that improves on all existing local pairing techniques by creating an efficient, effective, and intuitive pairing protocol. GazePair uses eye gaze tracking and a spoken key sequence cue (KSC) to generate identical, independently generated symmetric encryption keys with 64 bits of entropy. GazePair also achieves improvements in pairing success rates and times over current methods. Additionally, we show that GazePair can extend to multiple users. Finally, we assert that GazePair can be used on any Mixed Reality (MR) device equipped with eye gaze tracking.