GazePair: Efficient Pairing of Mixed Reality Devices Using Gaze Tracking - | Virginia Tech Intellectual Properties (VTIP)

GazePair: Efficient Pairing of Mixed Reality Devices Using Gaze Tracking

THE CHALLENGE:

Mixed reality (MR) devices, encompassing both augmented and virtual reality technologies, are rapidly gaining traction for their potential to revolutionize various sectors, including gaming, healthcare, education, logistics, and military applications. As these devices become increasingly integrated into our daily lives, the need for seamless and secure pairing mechanisms becomes paramount. Secure pairing is crucial for establishing trusted connections between devices, enabling collaborative experiences, and ensuring the secure exchange of sensitive information, such as holograms and spatial data. Current approaches to pairing MR devices often fall short in terms of usability, security, and scalability. Some methods rely on complex physical gestures or require specialized hardware not commonly available on MR devices. Others suffer from low entropy generation, making them susceptible to brute-force attacks. Moreover, existing solutions often lack scalability, limiting their practicality for multi-user scenarios. These limitations hinder the widespread adoption of MR technologies and underscore the need for more robust and user-friendly pairing solutions.

OUR SOLUTION:

GazePair technology facilitates secure pairing between multiple mixed-reality devices using gaze tracking. It identifies a host and at least one client device, communicating a key sequence cue to the user via the host device. Simultaneously, the host places ten numerically labeled holograms. Gaze tracking sensors monitor the users' eye movements as they follow a sequence of numbers corresponding to the spoken cue. This sequence generates a cryptographic key, establishing secure communication by leveraging the natural interaction of eye gaze to create a shared secret.

What differentiates this technology is its innovative use of gaze tracking for secure pairing in mixed reality. The system boasts a 98.5% success rate for one-to-one pairings and 100% for one-to-two pairings, demonstrating both efficiency and scalability. Moreover, the system has a low average pairing time, 8.9 seconds to complete one-to-one pairing and 12.4 seconds for one-to-two pairings achieving an 82.6 on a System Usability Scale (SUS) which is deemed “excellent”. Additionally, the efficiency increased over time as more users familiarized with the system quickly displaying a shorter learning curve amongst the users. Its adaptability to various mixed-reality platforms with gaze tracking capabilities further enhances its potential for widespread adoption.

ADVANTAGES:

  • Ease of Use: GazePair uses eye gaze tracking, making it efficient for pairing mixed-reality devices. Its intuitive design requires only a basic understanding of AR gestures, making it user-friendly.
  • Better Pairing Performance: Has a shorter pairing time and high success rate for one-to-one and on-to-two pairings.
  • Secure: The system is secure, generating 64 bits of entropy for robust encryption keys resistant to MITM (Man in the Middle) attacks.
  • Highly Scalable Technology: GazePair is scalable, proven effective in pairing more than two devices simultaneously.
  • Highly Compatible: The system is designed to be compatible with a wide range of mixed-reality devices that incorporate eye gaze tracking.

POTENTIAL APPLICATIONS:

  • Secure device pairing
  • Data encryption keys
  • Multi-user authentication
  • Shared virtual experiences

GazePair's three main steps to key generation and device pairing

Patent Information:
For Information, Contact:
Rozzy Finn
Licensing Officer
Virginia Tech Intellectual Properties, Inc.
Rozzy@vt.edu
Inventors:
Bo Ji
Matthew Corbett
Jiacheng Shang
Keywords: