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Automatic perception of human posture and gesture from vision input has an important role in developing intelligent video systems. In this paper, we present a novel gesture recognition approach for human computer interactivity based on marker-less upper body pose tracking in 3-D with multiple cameras. To achieve the robustness and real-time performance required for practical applications, the idea...
We introduce a motion tracking method of arbitrary human upper body motion. Low cost wearable inertial sensors are employed in our approach to track the upper body movement in 3D space and in real time. We first establish a kinematic chain of a human upper body consisting of a trunk and two limbs. Then joint variables are computed for given rotation matrices of body segments which are measured using...
We introduce a vision based, marker less upper body pose tracking approach that first tracks the 3D movements of extremities, including head and hands. Then based on the knowledge of upper body model, these extremity movements are used to predict the whole upper body motion as an inverse kinematics problem. The experimental validation showed the promise of applying this approach in several smart environments...
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