SIGN LANGUAGE RECOGNITION USING CNN AND SVM

For the people who are partially or permanently unable to hear the sign is most efficient way of communication. Due to the complexity the sign language is bit hard to understand. Many peoples have been researching on sign language since years back. Due to the complexity of sign language it’s been making the system harder to recognize all the words accurately So there are a lot methods for sign language.Because of the similarity between Sign language recognition and Action Recognition both are almost impossible to distinguish, so we are trying to implement one of best models in Action Recognition which is called as i3d inception model to clear all these difficulties and complexities. It is also a new Action Recognition model with very high accuracy.