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文章基本信息

  • 标题:Convolutional Neural Network for Detection of Sign Language
  • 本地全文:下载
  • 作者:Dr.Mahesh kaluti ; Manoj Athreya C.S ; Manish M.G
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2019
  • 卷号:67
  • 期号:5
  • 页码:34-37
  • DOI:10.14445/22312803/IJCTT-V67I5P106
  • 出版社:Seventh Sense Research Group
  • 摘要:Sign languages are languages that use manual communication to convey meaning. This can include simultaneously employing hand gestures, movement, orientation of the fingers, arms or body, and facial expressions to convey speaker’s idea. Sign language is an incredible advancement that has grown over the years. Sign language helps the deaf and dumb communities to go on about their daily lives. Unfortunately, there has some drawbacks that has come along with this language. Not everyone knows how to interpret or understand sign language while conversing with a deaf mute person. To solve this, we need a product that is versatile and robust, which needs to convert sign language into text or written format so that it is understood by everyone.
  • 关键词:Convolutional Neural Networks; Machine learning; Computer Vision; Sign language
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