Gesture recognition using Microsoft Kinect®

By K. K. Biswas, S. Basu. International Conference on Automation, Robotics and Applications, 2011

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3D Gestural Interaction: The State of the Field (2013, methodology): “Other 3D gesture recognizers that utilize SVMs include [80, 95–101].”
Hand gesture recognition with depth images: A review (2012, methodology): “Neural Networks [19, 39] and Support Vector Machines (SVMs) [5, 12, 19] are also commonly used for pose and gesture recognition, and both require minimal preprocessing of data (though SVMs are notoriously difficult to implement).”
Survey on 3D Hand Gesture Recognition (2016, methodology): “this case, the most straightforward use of RGB-D data is the depth-based hand [45], [62], [63]/finger [64], [65] detection and tracking [66], [67].”
Analysis of the Accuracy and Robustness of the Leap Motion Controller (2013, background): “Applications for 3D sensors include industrial tasks, people and object tracking, motion analysis, character animation, 3D scene reconstruction and gesture-based user interfaces [2].”