Hypertuned deep convolutional neural network for sign language recognition

HIGHLIGHTS

• who: Abdul Mannan and colleagues from the Department of Cyber Security, Air University, Islamabad, Pakistan Vellore Institute of Technology, Vellore, Tamil Nadu, India have published the research work: Hypertuned Deep Convolutional Neural Network for Sign Language Recognition, in the Journal: Computational Intelligence and Neuroscience of 30/04/2022
• what: The authors propose a CNN-based architecture for sign language alphabet recognition. Following the experimental results, the authors compare them with several state-of-the-art methodologies. In the end, the authors compare the results with the work, which used 30 ASL gestures (12 dynamic signs . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.