Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings

Research Article

Review of Research on Gesture Recognition Based on Radar Technology

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  • @INPROCEEDINGS{10.1007/978-3-030-69066-3_34,
        author={Yaoyao Dong and Wei Qu},
        title={Review of Research on Gesture Recognition Based on Radar Technology},
        proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings},
        proceedings_a={AICON},
        year={2021},
        month={7},
        keywords={Human-computer Interaction Gesture recognition Machine learning},
        doi={10.1007/978-3-030-69066-3_34}
    }
    
  • Yaoyao Dong
    Wei Qu
    Year: 2021
    Review of Research on Gesture Recognition Based on Radar Technology
    AICON
    Springer
    DOI: 10.1007/978-3-030-69066-3_34
Yaoyao Dong1, Wei Qu1
  • 1: Space Engineering University

Abstract

In order to know the development context of radar gesture recognition and predict the possible future development trends, the research and development of gesture recognition based on radar technology in recent years was sorted out. Focusing on key technologies such as dynamic gesture information perception, gesture echo signal preprocessing and feature extraction in radar gesture recognition technology, and classification algorithms for gesture recognition, the relevant literature published at home and abroad is summarized and existing methods are summarized. The performance of the system is analyzed and evaluated; the problems to be solved in the research direction are sorted out and the future research directions are prospected. The results show that radar gesture recognition technology has made great progress in human-computer interaction applications. With the deepening of related research, the gesture recognition system based on radar technology will develop towards intelligence.