For this purpose, Kinect 3D data was compared to that of Vicon motion capture system in a gait analysis laboratory. The sensor is thus utilized to assist in modeling and simulation of worker performance within an industrial cell. This article is an evaluation of the Kinect sensor accuracy when providing three dimensional kinematic data. The proposition made in this article is to adopt the Kinect sensor in to facilitate implementation of Health Engineering concepts to industrial environments. The Kinect sensor does not share similar limitations but it is not as accurate. The currently available commercial motion capture systems are constrained by space requirement and thus pose difficulties when used in developing kinematic description of human movements within the existing manufacturing and production cells. Jebeli, Mahvash Bilesan, Alireza Arshi, Ahmadreza We also found that marker size and Vicon sampling rate must be carefully chosen with respect to the speed encountered in the application in order to reach optimal positioning performance that can go to 0.3 mm for our dynamic study.Ī study on validating KinectV2 in comparison of Vicon system as a motion capture system for using in Health Engineering in industry Our work suggests that the system error is less than 2 mm. Our dynamic experiments were carried out at speeds found in real applications. The system performs well on static experiments with a mean absolute error of 0.15 mm and a variability lower than 0.025 mm. We introduce a new setup that enables directly estimating the absolute positioning accuracy for dynamic experiments contrary to state-of-the art works that rely on inter-marker distances. Mean error as well as positioning variabilities are studied with calibrated ground truth setups that are not based on other motion capture modalities. Our protocol includes evaluations of static and dynamic performances. In this paper, we study the positioning performance of one player in the optoelectronic motion capture based on markers: Vicon system. ![]() ![]() Still, few studies investigate the positioning performance of motion capture setups. Today’s life applications includes entertainment or augmented reality. Robotic applications encompass object tracking. Clinical science studies include gait analysis as well as balance, posture and motor control. Studies based on motion capture data can be found in biomechanical, sport or animal science. A Study of Vicon System Positioning Performanceĭirectory of Open Access Journals (Sweden)įull Text Available Motion capture setups are used in numerous fields.
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