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      An Analysis of the Precision and Reliability of the Leap Motion Sensor and Its Suitability for Static and Dynamic Tracking

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          Abstract

          We present the results of an evaluation of the performance of the Leap Motion Controller with the aid of a professional, high-precision, fast motion tracking system. A set of static and dynamic measurements was performed with different numbers of tracking objects and configurations. For the static measurements, a plastic arm model simulating a human arm was used. A set of 37 reference locations was selected to cover the controller's sensory space. For the dynamic measurements, a special V-shaped tool, consisting of two tracking objects maintaining a constant distance between them, was created to simulate two human fingers. In the static scenario, the standard deviation was less than 0.5 mm. The linear correlation revealed a significant increase in the standard deviation when moving away from the controller. The results of the dynamic scenario revealed the inconsistent performance of the controller, with a significant drop in accuracy for samples taken more than 250 mm above the controller's surface. The Leap Motion Controller undoubtedly represents a revolutionary input device for gesture-based human-computer interaction; however, due to its rather limited sensory space and inconsistent sampling frequency, in its current configuration it cannot currently be used as a professional tracking system.

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          Most cited references20

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          Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications

          Consumer-grade range cameras such as the Kinect sensor have the potential to be used in mapping applications where accuracy requirements are less strict. To realize this potential insight into the geometric quality of the data acquired by the sensor is essential. In this paper we discuss the calibration of the Kinect sensor, and provide an analysis of the accuracy and resolution of its depth data. Based on a mathematical model of depth measurement from disparity a theoretical error analysis is presented, which provides an insight into the factors influencing the accuracy of the data. Experimental results show that the random error of depth measurement increases with increasing distance to the sensor, and ranges from a few millimeters up to about 4 cm at the maximum range of the sensor. The quality of the data is also found to be influenced by the low resolution of the depth measurements.
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            Analysis of the Accuracy and Robustness of the Leap Motion Controller

            The Leap Motion Controller is a new device for hand gesture controlled user interfaces with declared sub-millimeter accuracy. However, up to this point its capabilities in real environments have not been analyzed. Therefore, this paper presents a first study of a Leap Motion Controller. The main focus of attention is on the evaluation of the accuracy and repeatability. For an appropriate evaluation, a novel experimental setup was developed making use of an industrial robot with a reference pen allowing a position accuracy of 0.2 mm. Thereby, a deviation between a desired 3D position and the average measured positions below 0.2 mm has been obtained for static setups and of 1.2 mm for dynamic setups. Using the conclusion of this analysis can improve the development of applications for the Leap Motion controller in the field of Human-Computer Interaction.
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              Microsoft kinect sensor and its effect

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                Molecular Diversity Preservation International (MDPI)
                1424-8220
                21 February 2014
                February 2014
                : 14
                : 2
                : 3702-3720
                Affiliations
                Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, Ljubljana 1000, Slovenia; E-Mails: grega.jakus@ 123456fe.uni-lj.si (G.J.); matevz.pogacnik@ 123456fe.uni-lj.si (M.P.); saso.tomazic@ 123456fe.uni-lj.si (S.T.); jaka.sodnik@ 123456fe.uni-lj.si (J.S.)
                Author notes

                Author Contributions: The work presented in this paper was carried out in collaboration between all authors. Guna and Pogačnik designed and implemented the experiment setup and also developed a custom tracking software for the Leap Motion Controller. Jakus, Tomažič and Sodnik were responsible for the data post processing and corresponding statistical analysis. All contributions are made by the authors.

                [* ] Author to whom correspondence should be addressed; E-Mail: joze.guna@ 123456fe.uni-lj.si ; Tel.: +386-147-681-16; Fax: +386-147-687-32.
                Article
                sensors-14-03702
                10.3390/s140203702
                3958287
                24566635
                45f00929-aaa0-492c-9369-bc642c1c8994
                © 2014 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 13 December 2013
                : 30 January 2014
                : 12 February 2014
                Categories
                Article

                Biomedical engineering
                leap motion controller,motion capture system,precision measurement,spatial distortion measurement

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