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According to the late theoretical physicist Stephen Hawking, having a disability need not prevent you from succeeding. People with talents should always work to make the lives of disabled people better. The deaf and dumb benefit from a variety of technological developments and studies. Numerous message boards are used by people to spread their message. Text messages can now be sent using rewritable pads, however doing so requires time and isn’t always successful. Technologies like machine learning and open CV can be employed to progress the situation. These can be created into automatic editors for anyone with limitations like as speech or hearing loss. Hand gestures can be used to convey messages. With the aid of open CV and machine learning, we can capture their hand motions and translate them into a language that we can all comprehend. This study article will look at how to implement a model that will assist the disabled with this problem and challenges associated with sign language recognition.

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Analysis of Hand Shapes with Convolutional Neural Networks for Sign Language Recognition

  • 会议论文

  • 发表日期：

    2025年

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  • Sandeep Bhatia,
  • Bharat Bhushan Naib,
  • Amit Kumar Goel,
  • Anurag Verma,
  • Sachin Gangwar,
  • Neha Goel

摘要

According to the late theoretical physicist Stephen Hawking, having a disability need not prevent you from succeeding. People with talents should always work to make the lives of disabled people better. The deaf and dumb benefit from a variety of technological developments and studies. Numerous message boards are used by people to spread their message. Text messages can now be sent using rewritable pads, however doing so requires time and isn’t always successful. Technologies like machine learning and open CV can be employed to progress the situation. These can be created into automatic editors for anyone with limitations like as speech or hearing loss. Hand gestures can be used to convey messages. With the aid of open CV and machine learning, we can capture their hand motions and translate them into a language that we can all comprehend. This study article will look at how to implement a model that will assist the disabled with this problem and challenges associated with sign language recognition.