Analysis of the accuracy and robustness of the Leap Motion Controller

Sensors (Switzerland)

Volumn 13, Issue 5, 2013, Pages 6380-6393

  Weichert, Frank ^a   Bachmann, Daniel ^a   Rudak, Bartholomäus ^a   Fisseler, Denis ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

Accuracy; Leap Motion Controller; Measurement precision; Robustness

Indexed keywords

ACCURACY; ACCURACY AND REPEATABILITIES; FOCUS OF ATTENTION; MEASUREMENT PRECISION; MOTION CONTROLLER; POSITION ACCURACY; REAL ENVIRONMENTS; SUBMILLIMETERS;

ROBUSTNESS (CONTROL SYSTEMS); USER INTERFACES;

MOTION CONTROL;

EID: 84878071962     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s130506380     Document Type: Article

References (26)

1. Khoshelham, K.; Elberink, S.O. Accuracy and resolution of kinect depth data for indoor mapping applications. Sensors 2012, 12, 1437-1454.
2. Biswas, K.K.; Basu, S. Gesture Recognition using Microsoft Kinect. In Proceedings of the IEEE International Conference on Automation, Robotics and Applications (ICARA), Delhi, India, 6-8 December 2011.
3. Stoyanov, T.; Louloudi, A.; Andreasson, H.; Lilienthal, A.J. Comparative Evaluation of Range Sensor Accuracy in Indoor Environments. In Proceedings of the European Conference on Mobile Robots (ECMR), Örebro, Sweden, 7-9 September 2011.
4. Chng, E. NewWays of Accessing Information Spaces Using 3D Multitouch Tables. In Proceedings of the International Conference on Cyberworlds (CW), Birmingham, UK, 25-27 September 2012; pp. 144-150.
5. Bruder, G.; Steinicke, F.; Stuerzlinger, W. Effects of Visual Conflicts on 3D Selection Task Performance in Stereoscopic Display Environments. In Proceedings of IEEE Symposium on 3D User Interfaces (3DUI), Orlando, FL, USA, 16-17 March 2013; pp. 1-4.
6. Silberman, N.; Fergus, R. Indoor Scene Segmentation Using a Structured Light Sensor. In Proceeding of IEEE International Conference on Computer VisionWorkshops (ICCVWorkshops), New York, NY, USA, 6-13 November 2011; pp. 601-608.
7. Chen, F.; Brown, G.; Song, M. Overview of three-dimensional shape measurement using optical methods. Opt. Eng. 2000, 39, 10-22.
8. Kolb, A.; Barth, E.; Koch, R.; Larsen, R. Time-of-Flight Sensors on Computer Graphics. In Proceedings of the Eurographics (State-of-the-Art Report), Munich, Germany, 30 March-3 April 2009.
9. Ambrosch, K.; Kubinger, W. Accurate hardware-based stereo vision. Comput. Vis. Image Underst. 2010, 114, 1303-1316.
10. Schmidt, J.; Berg, D.R.; Ploeg, L.; Ploeg, H.L. Precision, repeatability and accuracy of Optotrak R optical motion tracking systems. Int. J. Exp. Comput. Biomech. 2009, 1, 114-127.
11. Lindner, M.; Schiller, I.; Kolb, A.; Koch, R. Time-of-flight sensor calibration for accurate range sensing. Comput. Vis. Image Underst. 2010, 114, 1318-1328.
12. Weingarten, J.W.; Gruener, G.; Siegwari, R. A State-of-the-art 3D Sensor for Robot Navigation. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, 28 September-2 October 2004; pp. 2155-2160.
13. Rapp, H.; Frank, M.; Hamprecht, F.A.; Jahne, B. A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time of flight cameras. Int. J. Intell. Syst. Technol. Appl. 2008, 5, 402-413.
14. Chiabrando, F.; Chiabrando, R.; Piatti, D.; Rinaudo, F. Sensors for 3D imaging: Metric evaluation and calibration of a CCD/CMOS time-of-flight camera. Sensors 2009, 9, 10080-10096.
15. Rohling, R.; Munger, P.; Hollerbach, J.M.; Peters, T. Comparison of relative accuracy between a mechanical and an optical position tracker for image-guided neurosurgery. Comput. Aid. Surg. 1994, 277-282.
16. Koivukangas, T.; Katisko, J.; Koivukangas, J. Technical accuracy of optical and the electromagnetic tracking systems. SpringerPlus 2013, 2, doi:10.1186/2193-1801-2-90.
17. Sturman, M.M.; Vaillancourt, D.E.; Corcos, D. Effects of aging on the regularity of physiological tremor. J. Neurophysiol. 2005, 93, 3064-3074.
18. Burkhard, P.; Langston, J.; Tetrud, J. Voluntarily simulated tremor in normal subjects. Neurophysiol. Clin. 2002, 32, 119-126.
19. Nof, S. Handbook of Industrial Robotics; John Wiley & Sons: Hoboken, NJ, USA, 1999.
20. Tsai, R.; Lenz, R. A new technique for fully autonomous and efficient 3D robotics hand/eyecalibration. IEEE Trans. Robot. Autom. 1989, 5, 345-358.
21. BIPM. What is Metrology. Available online: http://www.bipm.org/en/bipm/metrology (accessed on 17 February 2013).
22. Manipulating Industrial Robots. Performance Criteria and Related Test Methods; ISO 9283, 1998.
23. Manipulating Industrial Robots-Informative Guide on Test Equipment and Metrology Methods of Operation for Robot Performance Evaluation in Accordance with ISO 9283; ISO/TR 13309, 1995.
24. Tukey, J.W. Exploratory Data Analysis; Limited, P., Ed.; Addison-Wesley Publishing: Philippines, 1977.
25. Bland, J.; Altman, D. Measuring agreement in method comparison studies. Stat. Methods Med. Res. 1999, 8, 135-160.
26. Fitts, P. The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 1954, 47, 381-391.