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    ARTICLE

    Dynamic Hand Gesture-Based Person Identification Using Leap Motion and Machine Learning Approaches

    Jungpil Shin1,*, Md. Al Mehedi Hasan2, Md. Maniruzzaman1, Taiki Watanabe1, Issei Jozume1

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1205-1222, 2024, DOI:10.32604/cmc.2024.046954

    Abstract Person identification is one of the most vital tasks for network security. People are more concerned about their security due to traditional passwords becoming weaker or leaking in various attacks. In recent decades, fingerprints and faces have been widely used for person identification, which has the risk of information leakage as a result of reproducing fingers or faces by taking a snapshot. Recently, people have focused on creating an identifiable pattern, which will not be reproducible falsely by capturing psychological and behavioral information of a person using vision and sensor-based techniques. In existing studies, most of the researchers used very… More >

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