Study on Real-time Gesture Recognition based on Convolutional Neural Network for Game Applications
Ji Hun Chae, Jong Heon Lim, Hae Sung Kim, Joon Jae Lee · Journal of Korea Multimedia Society · 2017
Humans have often been used gesture to communicate with each other. The communication between computer and person was also not different. To interact with a computer, we command with gesture, keyboard, mouse and extra devices. Especially, the gesture is very useful in many environments such as gaming and VR(Virtual Reality), which requires high specification and rendering time. In this paper, we propose a gesture recognition method based on CNN model to apply to gaming and real-time applications. Deep learning for gesture recognition is processed in a separated server and the preprocessing for data acquisition is done a client PC. The experimental results show that the proposed method is in accuracy higher than the conventional method in game environment.