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 . . .
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