• Nandini M S
• Salila Hegde
• Asha Deepa A

Abstract—Sign language is a communication language that involves hand gestures, body language and facial expression, used basically by the people who have hearing impairment. They communicate among themselves in sense of letters, words and sentences of interactive language to gestures. The most expressive way to communicate among themselves is Sign Language. Here, proposed system will recognize the hand gestures and translates into textual words. The methodology consists of two phases, namely Model Creation phase a Recognition phase. Here, Convolution Neural Network(CNN) is used for building the model and Hidden Markov Model(HMM) is used to handle the dynamics of the image sequence. CNN and HMM are combined in hybrid way to form the hybrid CNN-HMM.

Sign language, hearing impairment, hand gestures, CNN, HMM.

"A New Approach To Hand Gesture Recognition Using Combined Effect Of CNN And HMM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.f780-f784, February-2023, Available :http://www.jetir.org/papers/JETIR2302584.pdf

"A New Approach To Hand Gesture Recognition Using Combined Effect Of CNN And HMM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppf780-f784, February-2023, Available at : http://www.jetir.org/papers/JETIR2302584.pdf