With the rapid development of the Internet of Things (IoT) and the rise of 5G communication networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts impacting our life and workspace. mmWave sensing can sense humans and objects in a contactless way, providing fine-grained sensing ability. In the past few years, many mmWave sensing techniques have been proposed and applied in various human sensing applications (e.g., human localization, gesture recognition, and vital monitoring). We discover the need of a comprehensive survey to summarize the technology, platforms and applications of mmWave-based human sensing. In this survey, we first present the mmWave hardware platforms and some key techniques of mmWave sensing. We then provide a comprehensive review of existing mmWave-based human sensing works. Specifically, we divide existing works into four categories according to the sensing granularity: human tracking and localization, motion recognition, biometric measurement and human imaging. Finally, we discuss the potential research challenges and present future directions in this area.

翻译：随着物联网的快速发展、5G通信网络与自动驾驶的兴起，毫米波感知技术正逐步崭露头角，并开始影响我们的工作与生活。毫米波感知能够以非接触方式感知人体与物体，提供细粒度的感知能力。近年来，众多毫米波感知技术被提出并应用于各类人体感知场景（如人体定位、手势识别与生命体征监测）。我们发现有必要进行一项全面综述，总结基于毫米波的人体感知技术、平台及应用。本综述首先介绍毫米波硬件平台及相关关键技术；随后，对现有基于毫米波的人体感知研究进行全面梳理。具体而言，我们根据感知粒度将现有研究分为四类：人体追踪与定位、动作识别、生物特征测量及人体成像。最后，本文探讨该领域潜在的研究挑战，并展望未来发展方向。