Depth-based hand gesture recognition using convolutional neural networks
Jeong-Won Pyo, Sang-Hoon Ji, Sujeong You, Tae-Young Kuc · 2016
This paper presents the evaluations and analyses of hand gesture recognition using convolution neural networks (CNNs). CNNs are expected to deal with various articulation and multi-view changes of hand gestures. We show how to employ depth-based hand data with convolution neural networks and how to obtain the successful training and testing results from it. The evaluations were performed on famous hand database.