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  • 标题:HAND GESTURE RECOGNITION FOR THE AUDITORY IMPAIRED
  • 本地全文:下载
  • 作者:Asma Parveen ; Vedant Choudhary ; Kriti Heda
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2017
  • 卷号:6
  • 期号:4
  • 页码:477-481
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:More than 500 million people of the world suffer from some physical, sensory or mental disability. Often their lives are handicapped by physical and social barriers which hamper their full participation from society and the enjoyment of equal rights and opportunities. Many mute people use sign language. Sign language uses gestures instead of sound to convey meaning, simultaneously combining hand shapes, orientations and movement of the hands, arms or body and facial expressions to express fluidly a speaker’s thoughts. Signs are used to communicate words and sentences to audience. This project focuses on developing an application for recognition of hand gestures with reasonable accuracy, where the input to the pattern recognition system will be given from the hand. It recognizes the pattern and the display the pattern in the form of the text. The information given by the camera are collected and stored in the database. The exact meaning of the information is matched with the samples stored previously in the database. The image is processed considering the parameters like the number of fingers used, the angles between them.
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