deletions | additions       diff --git a/A_3D_skeleton_detection_of__.tex b/A_3D_skeleton_detection_of__.tex  index 74ce1bc..dc0a70f 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 person in front of the device is achieved from the depth image. The skeleton is described by 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 has to be placed around two meters away from the camera with the entire body visible until they are detected. It is also possible to extract the joints from the upper body without the need to have the entire body visible. This is useful for some individuals with a disability that cannot stand up. Fig. 2 10  shows two frames with the skeleton tracking achieved with the Kinect device. \citet{gonzalez2014kinect}