Optimizing Positional and Rotational Data Collection and Transmission in VR Headsets to Observe Disruption of Internal Sensors
Year: 2024
Type: article
Abstract: With the development of Virtual Reality (VR) technologies, security issues have become a primary concern for users. Disruptions of sensors in headsets can affect virtual properties such as virtual boundaries that may pose to be physically dangerous for the wearer. To observe and test varying techniques of disrupting internal sensors in headsets, developing an app that can obtain and transmit sensor data effectively and efficiently is vital. This project aims to address three different difficulties in creating such an app: (1) Maximizing the sample rate of the sensor data, (2) Transmitting said data in realtime to a server, and (3) Visualizing the data. Using a Meta Quest 2, we collect 3D coordinates as well as quaternion values to describe the positional and rotational state of the headset. We then transmit data through a WebSocket server and graph the data with PyQt. The app seeks to effectively promote the enhancement of the security of VR headset sensors by allowing for experimental testing of different methodologies to disrupt internal sensors and assess current design flaws.
Authors: Hsu, Charlie, Shao, Wenda, Zhisheng Yan
Institution: George Mason University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7092548246
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