Virtual Human Behavioural Profile Extraction Using Kinect Based Motion Tracking

This paper presents a framework for the creation of virtual human behavioural profile which will account for physiological parameters of the body during motion activities. Initially, the subject´s movements are captured along with the corresponding joint trajectories using a single Kinect sensor. To improve the fidelity of the motion trajectories a series of filters were implemented so as to diminish the effect of noise. Next, a musculoskeletal model of the human lower extremity with twenty degrees of freedom and 86 muscles is introduced and registered to the captured motion data through the inverse kinematics method. For the computational analysis and the estimation of joint torques during movements inverse and forward dynamics are utilized respectively. Finally, static optimization and computed muscle control are employed to estimate the muscle forces and muscle excitations necessary to perform the captured movements. Experimental results demonstrate the potential of the proposed approach, leading to numerous applications in the field of physics-based computer animation and virtual physiological human modeling.