@inproceedings{57067ded12ab4b9eb3f27e61a953607e,
title = "3D human postures recognition using kinect",
abstract = "In many application cases, 2D human postures display haven't been able to meet people's requirements which is failure to show human motions comprehensive, image and vivid. However, 3D human Postures display could restore and show human motions well, which is convenient for people to observe and learn human motions. This paper presents a method to recognize 3D human postures by using Microsoft Kinect sensor. Kinect is used as a capturing device. Capturing 3D human features mainly uses depth images obtained from Kinect sensor. Each pixel of depth images contains three-dimensional coordinate information of camera's scenes. Finally, the captured 3D human postures can be displayed by employing a human skeletal joints model and using a LED cube.",
keywords = "3D human postures, Depth images, Human motions, Human skeletal joints model, Kinect, Led cube",
author = "Xiao Zheng and Mengyin Fu and Yi Yang and Ningyi Lv",
year = "2012",
doi = "10.1109/IHMSC.2012.92",
language = "English",
isbn = "9780769547213",
series = "Proceedings of the 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012",
pages = "344--347",
booktitle = "Proceedings of the 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012",
note = "2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2012 ; Conference date: 26-08-2012 Through 27-08-2012",
}