Abstract
A new approach to correct the orientation estimate for a miniature Magnetic-Angular Rate-Gravity (MARG) module is statistically evaluated in a hand motion tracking system. Thirty human subjects performed an experiment to validate the performance of the proposed orientation correction algorithm in both non-magnetically distorted (MN) and magnetically distorted (MD) areas. The Kruskal-Wallis tests show that the orientation correction algorithm using Gravity and Magnetic Vectors with Double SLERP (GMV-D), the correction using Gravity and Magnetic Vectors with Single SLERP (GMV-S) and the on-board Kalman-Filter (KF) performed similarly in non-magnetically distorted areas. However, the statistical tests show that, when operating in the magnetically distorted region, the level of error in the orientation estimates produced by the three methods is significantly different, with the proposed GMV-D method yielding lower levels of error in the three Euler Angles Phi, Theta and Psi. This indicates that the GMV-D method was better able to provide orientation estimates that are more robust against local disturbances of the magnetic field that might exist in the operating space of the MARG module.
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Notes
- 1.
Each row tests the null hypothesis that the Sample 1 and Sample 2 distributions are the same. Asymptotic significance (2-sided tests) is displayed. The significance level is .05.
References
Kim, S.J.J.: A user study trends in augmented reality and virtual reality research: a qualitative study with the past three years of the ISMAR and IEEE VR conference papers. In: 2012 International Symposium on Ubiquitous Virtual Reality, pp. 1–5. IEEE, August 2012
Heeter, C.: Being there: the subjective experience of presence. Teleoper. Virtual Environ. 1(2), 262–271 (1992). https://doi.org/10.1162/pres.1992.1.2.262
Mccall, R., O’Neil, S., Carroll, F.: Measuring presence in virtual environments. ACM (2004). ID: acm985934; ACM Digital Library; ACM Digital Library (Association for Computing Machinery); KESLI (ACM Digital Library)
Slater, M., Usoh, M., Steed, A.: Depth of presence in virtual environments. Teleoper. Virtual Environ. 3(2), 130–144 (1994)
Slater, M., Wilbur, S.: A framework for immersive virtual environments (five). Teleoper. Virtual Environ. 6(6), 603 (1997)
Pavlovic, V.I., Sharma, R., Huang, T.S.: Visual interpretation of hand gestures for human-computer interaction: a review. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 677–695 (1997)
Roh, M.-C., Kang, D., Huh, S., Lee, S.-W.: A virtual mouse interface with a two-layered Bayesian network. Multimedia Tools Appl. 76(2), 1615–1638 (2017). ID: Roh 2017
Zhang, X., Liu, X., Yuan, S.-M., Lin, S.-F.: Eye tracking based control system for natural human-computer interaction. Comput. Intell. Neurosci. (2017)
Ratchatanantakit, N., O-larnnithipong, N., Sonchan, P., Adjouadi, M., Barreto, A.: Live demonstration: double SLERP gravity-magnetic vector (GMV-D) orientation correction in a MARG sensor. In: 2021 IEEE Sensors, p. 1. IEEE (2021)
Foxlin, E.: Motion tracking requirements and technologies (Chapter 8). In: Stanney, K. (ed.) Handbook of Virtual Environments: Design, Implementation, and Applications, pp. 163–201. Lawrence Erlbaum Associates, New York (2002)
Shoemake, K.: Animating rotation with quaternion curves. In: Proceedings of the 12th Annual Conference on Computer Graphics and Interactive Techniques, pp. 245–254, July 1985
Bachmann, E.R., Yun, X., Peterson, C.W.: An investigation of the effects of magnetic variations on inertial/magnetic orientation sensors. In: IEEE International Conference on Robotics and Automation, Proceedings. ICRA 2004, vol. 2, pp. 1115–1122. IEEE, April 2004
Ratchatanantakit, N., O-larnnithipong, N., Barreto, A., Tangnimitchok, S.: Consistency study of 3D magnetic vectors in an office environment for IMU-based hand tracking input development. In: Kurosu, M. (ed.) HCII 2019. Lecture Notes in Computer Science, vol. 11567, pp. 377–387. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22643-5_29
O-larnnithipong, N., Barreto, A., Tangnimitchok, S., Ratchatanantakit, N.: Orientation correction for a 3D hand motion tracking interface using inertial measurement units. In: Kurosu, M. (ed.) HCI 2018. Lecture Notes in Computer Science, vol. 10903, pp. 321–333. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91250-9_25
Montgomery, D.C.: Design and Analysis of Experiments. Wiley, New York (2017)
Field, A.: Discovering Statistics Using SPSS. Sage Publications, Upper Saddle River (2009)
Kuipers, J.B.: Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace, and Virtual Reality. Princeton University Press, Princeton (1999)
Acknowledgments
This research was supported by National Sciences Foundation grants CNS-1532061 and CNS-1920182, and the FIU University Graduate School Dissertation Year Fellowship awarded to Dr. Neeranut Ratchatanantakit.
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Ratchatanantakit, N., O-larnnithipong, N., Sonchan, P., Adjouadi, M., Barreto, A. (2022). Statistical Evaluation of Orientation Correction Algorithms in a Real-Time Hand Tracking Application for Computer Interaction. In: Kurosu, M. (eds) Human-Computer Interaction. Technological Innovation. HCII 2022. Lecture Notes in Computer Science, vol 13303. Springer, Cham. https://doi.org/10.1007/978-3-031-05409-9_8
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