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Key point feature extraction algorithms for multimodal gesture in complex environments
更新时间：2025-05-26

    • Key point feature extraction algorithms for multimodal gesture in complex environments

    • “In the field of gesture recognition, researchers have proposed a multi-modal gesture keypoint feature extraction algorithm in complex environments. By improving the BFO optimization algorithm, conditional generative adversarial network, and GIFT method, high-precision gesture keypoint feature extraction has been achieved.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 8, Pages: 2288-2294(2024)
    • 作者机构：

      1.香港理工大学 电子与信息工程系，香港 100872

      2.南方电网深圳供电局有限公司，广东 深圳 518000

    • DOI：10.13229/j.cnki.jdxbgxb.20230442    

      CLC： TP391

    • Received：05 May 2024，

      Published：01 August 2024

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  • LAI Dan-hui,LUO Wei-feng,YUAN Xu-dong,et al.Key point feature extraction algorithms for multimodal gesture in complex environments[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(08):2288-2294. DOI： 10.13229/j.cnki.jdxbgxb.20230442.

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