Scholarlink

Over 450 million individuals worldwide are deaf or hard of hearing. These individuals face challenges in communication with others who do not understand sign language, which they use to express emotions, opinions, and ideas. Researchers have developed numerous hardware and software solutions aimed at translating sign language into spoken language. However, significant challenges persist. Our goal is to address this by creating a tool capable of transcribing American Sign Language (ASL) into natural language. This tool will concatenate appropriate sign representations to form words and potentially coherent sentences that are understandable to humans, employing various Deep Learning techniques.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Construction and Prediction of American Sign Language Using Deep Learning

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Meryem Cherrate,
  • My Abdelouahed Sabri,
  • Ali Yahyaouy,
  • Badraddine Aghoutane,
  • Yousef Farhaoui,
  • Abdellah Aarab

摘要

Over 450 million individuals worldwide are deaf or hard of hearing. These individuals face challenges in communication with others who do not understand sign language, which they use to express emotions, opinions, and ideas. Researchers have developed numerous hardware and software solutions aimed at translating sign language into spoken language. However, significant challenges persist. Our goal is to address this by creating a tool capable of transcribing American Sign Language (ASL) into natural language. This tool will concatenate appropriate sign representations to form words and potentially coherent sentences that are understandable to humans, employing various Deep Learning techniques.