A Survey of mmWave-based Human Sensing: Technology, Platform and Applications

TL;DR

This survey comprehensively reviews mmWave-based human sensing technologies, platforms, and applications, highlighting recent advances, categorizing sensing methods, and discussing future research challenges and directions.

Contribution

It provides a systematic overview of mmWave human sensing techniques, categorizes existing works, and discusses future research challenges and opportunities.

Findings

Categorizes mmWave human sensing into four main types.

Summarizes key hardware platforms and sensing techniques.

Identifies future research challenges and directions.

Abstract

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.