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Articles

A Probalistic Approach for Human Everyday Activities Recognition using Body Motion from RGB-D Images, Diego R. Faria, Cristiano Premebida, Urbano Nunes. In IEEE RO-MAN'14: IEEE International Symposium on Robot and Human Interactive Communication, 2014.link

A Human Activity Recognition System Using Skeleton Data from RGBD Sensors, Enea Cippitelli, Samuele Gasparrini, Ennio Gambi, and Susanna Spinsante. In Computational Intelligence and Neuroscience, 2016. link

3D human action segmentation and recognition using pose kinetic energy, Junjie Shan, Srinivas Akella. IEEE International Workshop on Advanced Robotics and its Social Impacts, 2014.

Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group, Raviteja Vemulapalli, Felipe Arrate and Rama Chellappa. CVPR 2014 link

A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data, Alessandro Manzi, Paolo Dario and Filippo Cavallo, 2017 link