H.3. Artificial Intelligence
1. Hand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study

M. Kurmanji; F. Ghaderi

Volume 8, Issue 2 , Spring 2020, , Pages 177-188

http://dx.doi.org/10.22044/jadm.2019.7903.1929

Abstract
  Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement ...  Read More

2. Applying mean shift and motion detection approaches to hand tracking in sign language

Mohammad Mehdi Hosseini; Jalal Hassanian

Volume 2, Issue 1 , Winter 2014, , Pages 15-24

http://dx.doi.org/10.22044/jadm.2014.145

Abstract
  Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm ...  Read More