ChaLearn Pose
Introduced by Sergio Escalera et al. in Multi-modal Gesture Recognition Challenge 2013: Dataset and Results
ChaLearn Pose is a subset of the ChaLearn 2013 Multi-modal gesture dataset from Escalera et al. ICMI'13, which contains 23 hours of Kinect data of 27 persons performing 20 Italian gestures. The data includes RGB, depth, foreground segmentations and full body skeletons. In this dataset, both the training and testing labels are noisy (from Kinect).
Source: https://www.robots.ox.ac.uk/~vgg/data/pose/index.html#citationPapers
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Source: http://sunai.uoc.edu/chalearnLAP/.
