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Adaptive real⁃time gesture classification algorithm based on gesture frame sequence extraction
更新时间：2025-11-14

    • Adaptive real⁃time gesture classification algorithm based on gesture frame sequence extraction

    • “In the field of gesture recognition, researchers have proposed an adaptive real-time classification algorithm that achieves fast recognition of static and dynamic gestures through frame sequence extension and joint discrimination, with an average recognition time controlled within 0.4 seconds.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 9, Pages: 3042-3048(2025)
    • 作者机构：

      1.吉林大学 通信工程学院，长春 130021

      2.吉林大学 吉林省智能信号识别和设备工程技术研究中心， 长春130021

    • DOI：10.13229/j.cnki.jdxbgxb.20240529    

      CLC： TP391.41

    • Received：14 May 2024，

      Published：01 September 2025

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  • LIN Lin,CHEN Yu-xin,NAI Wei-zhi.Adaptive real⁃time gesture classification algorithm based on gesture frame sequence extraction[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(09):3042-3048. DOI： 10.13229/j.cnki.jdxbgxb.20240529.

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