MATEC Web Conf.
Volume 132, 2017XIII International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2017)
|Number of page(s)||4|
|Section||Cognitive methods of heterogeneous data analysis|
|Published online||31 October 2017|
Classification of a two-dimensional pose using a human skeleton
1 DSTU, Department of Radio-electronic and electrotechnical systems and complexes, 346500 Shakhty, Russia
2 SFEDU, Department of Theoretical Foundations of Radio Engineering, 347922 Taganrog, Russia
* Corresponding author: email@example.com
This article proposes an approach for the human pose recognition based on to preliminary prepared high-level data of the human skeleton. The coordinates of the feature points on the human skeleton is constructed by using a neural network. In the presented method, the coordinates of the feature points are a normalized relative of the human body height and the centre of gravity. We use these data for training the neural network.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.