arXiv 1703.034682017-03cs.CVcs.NI

Position Tracking for Virtual Reality Using Commodity WiFi

Stanford University（斯坦福大学）

Manikanta Kotaru, Sachin Katti

英文摘要：

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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

阅读原文

阅读 PDF ↗

arXiv 页面 ↗HTML 原文 ↗

本文内容

英文摘要相关论文

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

继续探索

相关论文

AdaPose：基于商用WiFi的跨站点无设备人体姿态估计

AdaPose: Towards Cross-Site Device-Free Human Pose Estimation with Commodity WiFi

School of Electrical and Electronics Engineering, Nanyang Technological University（南洋理工大学电气与电子工程学院）

本文提出AdaPose域适应算法，通过引入映射一致性损失解决WiFi人体姿态估计中的跨环境域偏移问题，提升模型在弱监督下的鲁棒性。

2024-10-14cs.CV

为什么商用WiFi传感器在多人体步态识别中失败：基于ESP32的系统分析

Why Commodity WiFi Sensors Fail at Multi-Person Gait Identification: A Systematic Analysis Using ESP32

University of Cambridge（剑桥大学）

通过ESP32实验发现，多人体步态识别性能差主要源于商用WiFi的感知质量限制，而非算法选择。

2026-06-12cs.CRcs.CV

From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi

Beijing University of Posts and Telecommunications（北京邮电大学）

In this paper, we present Wi-Mose, the first 3D moving human pose estimation system using commodity WiFi. Previous WiFi-based works have achieved 2D and 3D pose estimation. These solutions either capture poses from one perspective or construct poses of people who are at a fixed point, preventing their wide adoption in daily scenarios. To reconstruct 3D poses of people who move throughout the space rather than a fixed point, we fuse the amplitude and phase into Channel State Information (CSI) images which can provide both pose and position information. Besides, we design a neural network to ext…

2020-12-28cs.CVeess.SP

MetaFi: Device-Free Pose Estimation via Commodity WiFi for Metaverse Avatar Simulation

Nanyang Technological University（南洋理工大学）

Avatar refers to a representative of a physical user in the virtual world that can engage in different activities and interact with other objects in metaverse. Simulating the avatar requires accurate human pose estimation. Though camera-based solutions yield remarkable performance, they encounter the privacy issue and degraded performance caused by varying illumination, especially in smart home. In this paper, we propose a WiFi-based IoT-enabled human pose estimation scheme for metaverse avatar simulation, namely MetaFi. Specifically, a deep neural network is designed with customized convoluti…

2022-08-22cs.AIcs.CVcs.HC

3D Human Pose Estimation for Free-form Activity Using WiFi Signals

Florida State University（佛罗里达州立大学）；Trinity University（三一大学）；Rutgers University（罗格斯大学）

WiFi human sensing has become increasingly attractive in enabling emerging human-computer interaction applications. The corresponding technique has gradually evolved from the classification of multiple activity types to more fine-grained tracking of 3D human poses. However, existing WiFi-based 3D human pose tracking is limited to a set of predefined activities. In this work, we present Winect, a 3D human pose tracking system for free-form activity using commodity WiFi devices. Our system tracks free-form activity by estimating a 3D skeleton pose that consists of a set of joints of the human bo…

2021-10-15cs.CVcs.HC

RePos：用于跨环境基于WiFi的3D人体姿态估计的相对到绝对输出分解

RePos: Relative-to-Absolute Pose Factorization for Cross-Environment WiFi-Based 3D Human Pose Estimation

Faculty of Science and Technology, Keio University（庆应义塾大学理工学部）

研究跨环境WiFi 3D人体姿态估计问题，提出RePos框架，将根相对姿态估计与根定位分离，防止绝对姿态监督影响结构分支，提升跨环境性能。

2026-07-20cs.CV

更多相关论文收起更多论文

Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning

Ryerson University（瑞尔森大学）

Facial expressions of emotion are a major channel in our daily communications, and it has been subject of intense research in recent years. To automatically infer facial expressions, convolutional neural network based approaches has become widely adopted due to their proven applicability to Facial Expression Recognition (FER) task.On the other hand Virtual Reality (VR) has gained popularity as an immersive multimedia platform, where FER can provide enriched media experiences. However, recognizing facial expression while wearing a head-mounted VR headset is a challenging task due to the upper h…

2020-08-12cs.CV

Audio- and Gaze-driven Facial Animation of Codec Avatars

Facebook Reality Labs（Facebook现实实验室）；University of Bonn（波恩大学）

Codec Avatars are a recent class of learned, photorealistic face models that accurately represent the geometry and texture of a person in 3D (i.e., for virtual reality), and are almost indistinguishable from video. In this paper we describe the first approach to animate these parametric models in real-time which could be deployed on commodity virtual reality hardware using audio and/or eye tracking. Our goal is to display expressive conversations between individuals that exhibit important social signals such as laughter and excitement solely from latent cues in our lossy input signals. To this…

2020-08-11cs.CV