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文章基本信息

  • 标题:Automatic Sign Language Recognition: Performance Comparison of Word based Approach with Spelling based Approach
  • 作者:Shazia Saqib ; Syed Asad Raza Kazmi ; Khalid Masood
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2018
  • 卷号:9
  • 期号:5
  • DOI:10.14569/IJACSA.2018.090552
  • 出版社:Science and Information Society (SAI)
  • 摘要:Evolution of computer based interaction has been through a number of phases. From command line interface to menu driven environment to Graphics User Interface, the communication has evolved to a better user friendly environment. A new form of communication is on the rise and that is Gesture Based Communication, which is a touch free environment basically. Although its applications are mainly for deaf community but smart mobiles, laptops and other similar devices are encouraging this new kind of communication. Sign languages all over the world have a dictionary of signs of several thousand words. Mostly these signs are word based which means that these signs do not make use of basic alphabet signs, rather a new sign has to be designed for every new word added to the dictionary. This paper suggests use of spelling-based gestures especially while communicating with smart phones and laptops.
  • 关键词:Feature extraction; human computer interaction; image segmentation; object recognition
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