Position Tracking for Virtual Reality Using Commodity WiFi
March 09, 2017 ยท Declared Dead ยท ๐ Computer Vision and Pattern Recognition
"No code URL or promise found in abstract"
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Authors
Manikanta Kotaru, Sachin Katti
arXiv ID
1703.03468
Category
cs.CV: Computer Vision
Cross-listed
cs.NI
Citations
127
Venue
Computer Vision and Pattern Recognition
Last Checked
2 months ago
Abstract
Today, experiencing virtual reality (VR) is a cumbersome experience which either requires dedicated infrastructure like infrared cameras to track the headset and hand-motion controllers (e.g., Oculus Rift, HTC Vive), or provides only 3-DoF (Degrees of Freedom) tracking which severely limits the user experience (e.g., Samsung Gear). To truly enable VR everywhere, we need position tracking to be available as a ubiquitous service. This paper presents WiCapture, a novel approach which leverages commodity WiFi infrastructure, which is ubiquitous today, for tracking purposes. We prototype WiCapture using off-the-shelf WiFi radios and show that it achieves an accuracy of 0.88 cm compared to sophisticated infrared based tracking systems like the Oculus, while providing much higher range, resistance to occlusion, ubiquity and ease of deployment.
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