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. 2017 May 2;12:480–484. doi: 10.1016/j.dib.2017.04.026
Subject area Computer vision
More specific subject area Human action recognition
Type of data Table of skeleton joints.csv file, depth images, RGB images
How data was acquired Controlled recording
Data format Raw and Processed
Experimental factors Indoors, using Microsoft Kinect sensor and child mannequin
Experimental features Data mining was performed after dataset capturing.
Data source location Digital Home Lab, Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia
Data accessibility Raw skeleton joints modality is attached to this paper.