Abstract: This work outlines a method for patient ambulation assessment based on tracking the human body using a depth camera. To classify static postures and dynamic movements, a hierarchical classifier is proposed.
Abstract—This work outlines a method for patient ambulation assessment based on tracking the human body using a depth camera.
This thesis explores methods of evaluating human activity from three angles by using the second generation of Microsoft Kinect camera.
This paper presents a prototypical system based on RGB-D cameras and compares it to a gold standard for gait analysis.
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Ambulation Assessment Using Depth Cameras - Semantic Scholar
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This work outlines a method for patient ambulation assessment based on tracking the human body using a depth camera to classify static postures and dynamic ...
This paper proposes a method to identify individuals based on the depth images of gait sequences. The gait sequences are detected using previously presented ...
Missing: Ambulation Assessment
This thesis explores methods of evaluating human activity from three angles by using the second generation of Microsoft Kinect camera.
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We propose a new method based on multiple depth cameras. The aim of this paper is to show the possibility to reconstruct the body 3D volume in real time during ...
Missing: Ambulation Assessment
Detecting human joints by using depth cameras and computer vision methods is an important means of assessing human postures and activities. This thesis explores ...
This paper proposes a depth measurement error model for consumer depth cameras such as the Microsoft Kinect, and a corresponding calibration method. These ...