deletions | additions       diff --git a/A_3D_skeleton_detection_of__.tex b/A_3D_skeleton_detection_of__.tex  index 4b57a4c..5212f59 100644  --- a/A_3D_skeleton_detection_of__.tex  +++ b/A_3D_skeleton_detection_of__.tex 
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A 3D skeleton detection of the representative user  in front of the device is accomplished processed  from the depth image. The skeleton may be describe by from  the following joints: head, neck, right shoulder, left shoulder, right elbow, left elbow, right hand, left hand, torso, right hip, left hip, right knee, left knee, right foot, and left foot. To extract these joints, the user need needs  to be located around two meters away from the camera with the entire body visible until they are detected. It is also possible to extract the joints starting with the upper body without the need to have the whole body visible. This will be of service done  to a few people persons  with a disability that can't stand up. Fig. disability. Figure  10 indicates two frames with the skeleton tracking accomplished with the Kinect device \cite{gonzalez2014kinect}.