Real-time Hand-Gesture Recognition based on Deep Neural Network

Hand gestures are a kind of nonverbal communication in which visible bodily actions used to communicate important messages. Recently, hand gesture recognition has received significant attention from the research community for various applications, including advanced driver assistance systems, prosthetic, and robotic control. Therefore, accurate fast classification is required. In this research, we created deep neural network as first step develop real-time camera-only system without electroencephalogram (EEG) signals. We present software architecture fair amount details. The proposed was able recognize signs with an accuracy 97.31%.