A Survey of Hand Gesture Recognition Based on FMCW Radar.

In recent years, with the development of unmanned vehicle fields, the millimeter wave radar has also developed rapidly and has been applied to many systems. Frequency modulated continuous wave (FMCW) radar has become a hot research topic in millimeter radar areas due to its physical characteristics, including strong sensing capability and high resolution. This paper investigates gesture recognition applications based on FMCW radar and summarizes the latest research using FMCW radar system. Firstly, this paper reviews existing gesture recognition applications using wireless signals. Secondly, it focuses on the FMCW radar gesture recognition system and gives the general framework of gesture recognition, including gesture data acquisition, signal preprocessing, gesture recognition algorithm and classification results. Next, it analyzes the typical gesture recognition application systems from coarse-grained and fine-grained granularity and elaborates experimental scenes, experimental equipment, gesture types, signal preprocessing and classification methods. Finally, it presents the challenges and issues involved in gesture recognition based on FMCW radar and proposes future research directions.