基于无线信号的人体姿态估计综述  

An Overview of Human Pose Estimation Based on Wireless Signals

作　　者：陈彦[1] 张锐[1] 李亚东 宋瑞源 耿瑞旭 龚汉钦 汪斌全 张东恒 胡洋[1] CHEN Yan;ZHANG Rui;LI Yadong;SONG Ruiyuan;GENG Ruixu;GONG Hanqin;WANG Binquan;ZHANG Dongheng;HU Yang(School of Cyber Science and Technology,University of Science and Technology of China,Hefei 230026,China;Department of Electrical and Computer Engineering,University of Washington,Seattle 98195,United States)

机构地区：[1]中国科学技术大学网络空间安全学院,合肥230026 [2]华盛顿大学电气与计算机工程学院,西雅图98195

出　　处：《雷达学报(中英文)》2025年第1期229-247,共19页Journal of Radars

基　　金：国家自然科学基金(62172381,62201542)。

摘　　要：人体姿态估计在人机交互、动作捕捉和虚拟现实等领域具有广泛的应用前景,一直是人体感知研究的重要方向。然而,基于光学图像的姿态估计方法往往受限于光照条件和隐私问题。因此,利用可在各种光照遮挡下工作,且具有隐私保护性的无线信号进行人体姿态估计获得了更多关注。根据无线信号的工作频率,现有技术可分为高频方法和低频方法,且不同的信号频率对应硬件系统、信号特性、噪声处理和深度学习算法设计等方面均有所不同。该文将以毫米波雷达、穿墙雷达和WiFi信号为代表,回顾其在人体姿态重建研究中的进展和代表性工作,分析各类信号模式的优势与局限,并对潜在研究难点以及未来发展趋势进行了展望。Human pose estimation holds tremendous potential in fields such as human-computer interaction,motion capture,and virtual reality,making it a focus in human perception research.However,optical imagebased pose estimation methods are often limited by lighting conditions and privacy concerns.Therefore,the use of wireless signals that can operate under various lighting conditions and obstructions while ensuring privacy is gaining increasing attention for human pose estimation.Wireless signal-based pose estimation technologies can be categorized into high-frequency and low-frequency methods.These methods differ in their hardware systems,signal characteristics,noise processing,and deep learning algorithm design based on the signal frequency used.This paper highlights research advancements and notable works in human pose reconstruction using millimeterwave radar,through-wall radar,and WiFi.It analyzes the advantages and limitations of each signal type and explores potential research challenges and future developments in the field.

关 键 词：人体姿态估计 无线感知 深度学习 毫米波雷达 穿墙雷达 WIFI 

分 类 号：TN957.51[电子电信—信号与信息处理]