TITLE:
A Survey of Gesture Recognition Using Frequency Modulated Continuous Wave Radar
AUTHORS:
Xinran Qiu, Junhao Liu, Lulu Song, Haofei Teng, Jiaqi Zhang, Zhengjie Wang
KEYWORDS:
Millimeter-Wave Radar, Gesture Recognition, Human-Computer Interaction, Feature Extraction
JOURNAL NAME:
Journal of Computer and Communications,
Vol.12 No.6,
June
27,
2024
ABSTRACT: With technology advances and human requirements increasing, human-computer interaction plays an important role in our daily lives. Among these interactions, gesture-based recognition offers a natural and intuitive user experience that does not require physical contact and is becoming increasingly prevalent across various fields. Gesture recognition systems based on Frequency Modulated Continuous Wave (FMCW) millimeter-wave radar are receiving widespread attention due to their ability to operate without wearable sensors, their robustness to environmental factors, and the excellent penetrative ability of radar signals. This paper first reviews the current main gesture recognition applications. Subsequently, we introduce the system of gesture recognition based on FMCW radar and provide a general framework for gesture recognition, including gesture data acquisition, data preprocessing, and classification methods. We then discuss typical applications of gesture recognition systems and summarize the performance of these systems in terms of experimental environment, signal acquisition, signal processing, and classification methods. Specifically, we focus our study on four typical gesture recognition systems, including air-writing recognition, gesture command recognition, sign language recognition, and text input recognition. Finally, this paper addresses the challenges and unresolved problems in FMCW radar-based gesture recognition and provides insights into potential future research directions.