References
- H. Cheng, L. Yang, and Z. Liu, "Survey on 3D Hand Gesture Recognition," Proceeding of Transactions on Circuits and Systems for Video Technology, pp. 1659-1673, 2016.
- N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," Proceeding of the Computer Society Conference on Computer Vision and Pattern Recognition, pp. 886-893, 2005.
- H. Li, L. Yang, X. Wu, S. Xu, and Y. Wang, "Static Hand Gesture Recognition Based on HOG with Kinect," Proceeding of the 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, pp. 271- 273, 2012.
- T. Wenjun, W. Chengdong, Z. Shuying, and J. Li, "Dynamic Hand Gesture Recognition Using Motion Trajectories and Key Frames," Proceeding of the Advanced Computer Control, pp. 163-167, 2010.
- MSR Action 3D Datasets, http://www. uow.edu.au/-wanqing/#MSRAction3DDatasets (accessed Apr., 02, 2017).
- M.A. Gowayyed, M. Torki, M.E. Hussein, and M. El-Saban, "Histogram of Oriented Displacements (HOD): Describing Trajectories of Human Joints for Action Recognition," Proceeding of the 23rd International Joint Conference on Artificial Intelligence, pp. 1351-1357, 2013.
- J. Zhang, W. Zhou, and H. Li, "A New System for Chinese Sign Language Recognition," Proceeding of China Summit and International Conference on Signal and Information Processing, pp. 534-538, 2015.
- VIVA Hand Gesture Dataset, http://cvrr.ucsd.edu/vivachallenge/index.php/ (accessed Feb., 01, 2015).
- Y. Kim, S. Park, S. Ok, S. Lee, and E. Lee, "Human Gesture Recognition Technology Based on User Experience for Multimedia Contents Control," Journal of Korea Multimedia Society, Vol. 15, No. 10, pp. 1196-1204, 2012. https://doi.org/10.9717/kmms.2012.15.10.1196