Position Tracking for Virtual Reality Using Commodity WiFi
Manikanta Kotaru,Sachin Katti +1 more
- pp 2671-2681
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TLDR
WiCapture is presented, a novel approach which leverages commodity WiFi infrastructure, which is ubiquitous today, for tracking purposes, while providing much higher range, resistance to occlusion, ubiquity and ease of deployment.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.read more
Citations
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Journal ArticleDOI
Near-Eye Display and Tracking Technologies for Virtual and Augmented Reality
George Alex Koulieris,Kaan Akşit,Michael Stengel,Rafal Mantiuk,Katerina Mania,Christian Richardt +5 more
TL;DR: This state‐of‐the‐art report investigates the background theory of perception and vision as well as the latest advancements in display engineering and tracking technologies involved in near‐eye displays.
Proceedings ArticleDOI
Multipath Triangulation: Decimeter-level WiFi Localization and Orientation with a Single Unaided Receiver
TL;DR: This paper uses multipath triangulation to build the first decimeter-level WiFi localization system, called MonoLoco, that requires only a single access point and a single channel, and does not impose any overhead, data sharing, or coordination protocols beyond standard WiFi communication.
Journal ArticleDOI
Joint Activity Recognition and Indoor Localization With WiFi Fingerprints
TL;DR: In this article, a dual-task convolutional neural network was proposed for joint activity recognition and indoor localization using WiFi channel state information (CSI) fingerprints, which can be further explored to identify human activities and locations.
Journal ArticleDOI
Evolution and Impact of Wi-Fi Technology and Applications: A Historical Perspective
TL;DR: A holistic overview of the evolution of Wi-Fi technology and its applications as the authors experienced it in the last few decades is provided.
Proceedings ArticleDOI
RF-based inertial measurement
TL;DR: RIM turns a commodity WiFi device into an Inertial Measurement Unit (IMU) that can accurately track moving distance, heading direction, and rotating angle, requiring no additional infrastructure but a single arbitrarily placed Access Point (AP) whose location is unknown.
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