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There are many opportunities for study and modeling in the area of gesture categorization and identification. These are helpful for the community of hearing-impaired persons as well as for the evolution of new vision-based devices. A strong hand gesture recognition system should be created in order to recognize words effectively, as hand gesture interpretation relies heavily on this ability. American Sign Language (ASL) is a complete natural language with syntax that is different from English and linguistic elements that are comparable to spoken languages. In this work, VGG19, a CNN model was employed for gesture classification. The model is evaluated on two datasets and has an accuracy of 99.92% for the RGB dataset, 98.73% for the Depth dataset, and 96.54% for the dataset combining both. For the recognition part camera PyCharm software is used that will help the deaf and mute community to understand and learn easily.

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Identification of ASL Hand Gesture Language Using Deep Learning Technique

  • 会议论文

  • 发表日期：

    2026年

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  • Vaishnavi Gupta,
  • Shashank Shekhar,
  • Ritika,
  • Rohini Gaur,
  • Ashish Pandey

摘要

There are many opportunities for study and modeling in the area of gesture categorization and identification. These are helpful for the community of hearing-impaired persons as well as for the evolution of new vision-based devices. A strong hand gesture recognition system should be created in order to recognize words effectively, as hand gesture interpretation relies heavily on this ability. American Sign Language (ASL) is a complete natural language with syntax that is different from English and linguistic elements that are comparable to spoken languages. In this work, VGG19, a CNN model was employed for gesture classification. The model is evaluated on two datasets and has an accuracy of 99.92% for the RGB dataset, 98.73% for the Depth dataset, and 96.54% for the dataset combining both. For the recognition part camera PyCharm software is used that will help the deaf and mute community to understand and learn easily.