• Rashmi Ramesh Koli
• Tanveer I. Bagban

Human action recognition is one of the most difficult and challenging things in deep neural networks. Human action recognition is nothing but the human gesture recognition. Gesture shows a movements of body prats which convey some meaningful message. Gestures are more preferable and natural to interact with computers for human thus it builds bridge between humans and machines. Human action recognition provides best communication platform for the deaf and dumb person. In this paper we propose the to develop a system for hand gesture recognition, which recognize hand gestures, features of hands such as peak calculation and angle calculation and angle calculation and then convert gestures images into text.

Human action recognition, Deaf and dumb, CNN

" Human Action Recognition Using Deep Neural Networks ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.348-352, June 2019, Available :http://www.jetir.org/papers/JETIR1908796.pdf

" Human Action Recognition Using Deep Neural Networks ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp348-352, June 2019, Available at : http://www.jetir.org/papers/JETIR1908796.pdf