• Dr.K.Santhi
• Mohammed Abu Hudaifa R
• Dilipkumar G
• Sivashankar M
• Ruban Raj B

In order to recognize hand motions during human-computer interaction, a unique approach is presented in this study. Frequently The hand gesture recognition system is made such that it just needs a camera as unique hardware. The study of user and computer interaction is known as human-computer interaction, or HCI. Our major goal is to investigate the neural network-based method for hand gesture detection. We have employed an orientation histogram technique that can identify a subset of Indian sign language (ISL) hand movements. An picture is transformed using a pattern recognition algorithm into a feature vector, which is then compared to the feature vector of the training set of motions. A perceptron network is finally used to create the final system.

HCI, ISL, ANN, Pattern Recognition.

"Hand Gesture Recognition on Indian Sign Language using Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.a86-a90, September-2023, Available :http://www.jetir.org/papers/JETIR2309012.pdf

"Hand Gesture Recognition on Indian Sign Language using Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppa86-a90, September-2023, Available at : http://www.jetir.org/papers/JETIR2309012.pdf