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

Ageishi Naoto, Tomohide Fukuchi, Ben Abdallah Abderazek
2021 SHS Web of Conferences  
Hand gestures are a kind of nonverbal communication in which visible bodily actions are 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 and fast classification of hand gesture is required. In this research, we created a deep neural network as the first step to develop a real-time
more » ... ra-only hand gesture recognition system without electroencephalogram (EEG) signals. We present the system software architecture in a fair amount of details. The proposed system was able to recognize hand signs with an accuracy of 97.31%.
doi:10.1051/shsconf/202110204009 doaj:adee8eabed754a32beee44be0c8ba06d fatcat:wsu34zp2qbchhp3bfg7pnoiagu