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A NOVEL EXPERIMENTAL DESIGN OF A REAL-TIME VR TRACKING DEVICE

Published online by Cambridge University Press:  27 July 2021

Yazan A M Barhoush ,
Vijayakumar Nanjappan ,
Felix Thiel ,
Georgi V. Georgiev ,
David Swapp  and
Brian Loudon
Yazan A M Barhoush*
Affiliation:
University of Oulu, Finland
Vijayakumar Nanjappan
Affiliation:
University of Oulu, Finland
Felix Thiel
Affiliation:
University College London, UK
Georgi V. Georgiev
Affiliation:
University of Oulu, Finland
David Swapp
Affiliation:
University College London, UK
Brian Loudon
Affiliation:
Loud1Design Ltd., Glasgow, UK
*
Barhoush, Yazan A M, University of Oulu, Center for Ubiquitous Computing, Finland, [email protected]

Abstract

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Virtual Reality (VR) is progressively adopted at different stages of design and product development. Consequently, evolving interaction requirements in engineering design and development for VR are essential for technology adoption. One of these requirements is real-time positional tracking. This paper aims to present an experimental design of a new real-time positional tracking device (tracker), that is more compact than the existing solution, while addressing factors such as wearability and connectivity. We compare the simulation of the proposed device and the existing solution, discuss the results, and the limitations. The new experimental shape of the device is tailored towards research, allowing the engineering designer to take advantage of a new tracker alternative in new ways, and opens the door to new VR applications in research and product development.

Keywords

Virtual realitySimulationVirtual Engineering (VE)Motion TrackingPositional Tracking
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 171 - 180
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

References

Barhoush, Y., Georgiev, G.V. and Loudon, B. (2020), “Empathy and Idea Generation: Exploring the Design of a Virtual Reality Controller for Rehabilitation Purposes”, Proceedings of the Sixth International Conference on Design Creativity (ICDC 2020), https://doi.org/10.35199/ICDC.2020.36.CrossRefGoogle Scholar
Burdea, G., Kim, N., Polistico, K., Kadaru, A., Grampurohit, N., Roll, D. and Damiani, F. (2019), “Assistive game controller for artificial intelligence-enhanced telerehabilitation post-stroke”, Assistive Technology, Vol. 0 No. 0, pp. 1–12, 10.1080/10400435.2019.1593260. Publisher: Taylor & Francis _eprint: https://doi.org/10.1080/10400435.2019.1593260.Google ScholarPubMed
Capece, N., Erra, U. and Romaniello, G. (2018), “A Low-Cost Full Body Tracking System in Virtual Reality Based on Microsoft Kinect”, in: De Paolis, L.T. and Bourdot, P. (Editors), Augmented Reality, Virtual Reality, and Computer Graphics, Lecture Notes in Computer Science, Springer International Publishing, Cham, pp. 623–635, 10.1007/978-3-319-95282-644:CrossRefGoogle Scholar
Carulli, M., Bordegoni, M., Ferrise, F., Gallace, A., Gustafsson, M. and Pfuhl, T. (2018), “Simulating Multisensory Wine Tasting Experience”, https://doi.org/10.21278/idc.2018.0485. Conference Name: DESIGN 2018 - 15th International Design Conference Pages: 2177–2186. https://doi.org/10.21278/idc.2018.0485.CrossRefGoogle Scholar
Du, Y.C., Shih, C.B., Fan, S.C., Lin, H.T. and Chen, P.J. (2018), “An IMU-compensated skeletal tracking system using Kinect for the upper limb”, Microsystem Technologies, Vol. 24 No. 10, pp. 4317–4327, 10.1007/s00542-018-3769-6.CrossRefGoogle Scholar
Freire, R., Glowacki, B.R., Williams, R.R., Wonnacott, M., Jamieson-Binnie, A. and Glowacki, D.R. (2020), “OMG-VR: Open-source Mudra Gloves for Manipulating Molecular Simulations in VR”, arXiv:1901.03532 [physics]. ArXiv: 1901.03532.Google Scholar
Gerschütz, B., Fechter, M., Schleich, B. and Wartzack, S. (2019), “A Review of Requirements and Approaches for Realistic Visual Perception in Virtual Reality”, Proceedings of the Design Society: International Conference on Engineering Design, Vol. 1 No. 1, pp. 1893–1902, 10/gf6bpk. Publisher: Cambridge University Press.CrossRefGoogle Scholar
Honnet, C. and Lopes, G. (2019), “HiveTracker: 3D positioning for ubiquitous embedded systems”, in: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC ’19 Adjunct, Association for Computing Machinery, New York, NY, USA, pp. 288–291, 10.1145/3341162.3349295.Google Scholar
Horvat, N., Škec, S., Martinec, T., Lukačević, F. and Perišić, M.M. (2019), “Comparing Virtual Reality and Desktop Interface for Reviewing 3D CAD Models”, Proceedings of the Design Society: International Conference on Engineering Design, Vol. 1 No. 1, pp. 1923–1932, 10/ghm594. Publisher: Cambridge University Press.Google Scholar
Kruk, E.v.d. and Reijne, M.M. (2018), “Accuracy of human motion capture systems for sport applications; state-of-the-art review”, European Journal of Sport Science, Vol. 18 No. 6, pp. 806–819, 10.1080/17461391.2018.1463397. Publisher: Routledge _eprint: https://doi.org/10.1080/17461391.2018.1463397.CrossRefGoogle ScholarPubMed
Murray, B.C.M., Peele, B.N., Xu, P., Spjut, J., Shapira, O., Luebke, D. and Shepherd, R.F. (2018), “A variable shape and variable stiffness controller for haptic virtual interactions”, in: 2018 IEEE International Conference on Soft Robotics (RoboSoft), pp. 264–269, 10.1109/ROBOSOFT.2018.8404930.Google Scholar
Naeemabadi, M.R., Dinesen, B.I., Andersen, O.K., Najafi, S. and Hansen, J. (2018), “Evaluating accuracy and usability of Microsoft Kinect sensors and wearable sensor for tele knee rehabilitation after knee operation”, Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Biostec 2018; Biodevices 2018, 19–21 January 2018, Funchal, Madeira, Portugal, pp. 128–135, 10.5220/0006578201280135. Publisher: SCITEPRESS Digital Library.Google Scholar
Rahimi, A., Zhou, J. and Haghani, S. (2020), “A VR gun controller with Recoil Adjustability”, in: 2020 IEEE International Conference on Consumer Electronics (ICCE), pp. 1–2, 10.1109/ICCE46568.2020.9043008. ISSN: 2158-4001.Google Scholar
Shigeyama, J., Hashimoto, T., Yoshida, S., Narumi, T., Tanikawa, T. and Hirose, M. (2019), “Transcalibur: A Weight Shifting Virtual Reality Controller for 2D Shape Rendering based on Computational Perception Model”, In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI ’19, Association for Computing Machinery, New York, NY, USA, pp. 1–11, 10.1145/3290605.3300241.Google Scholar
Sinclair, M., Ofek, E., Gonzalez-Franco, M. and Holz, C. (2019), “CapstanCrunch: A Haptic VR Controller with User-supplied Force Feedback”, in: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, UIST ’19, Association for Computing Machinery, New York, NY, USA, pp. 815–829, 10.1145/3332165.3347891.CrossRefGoogle Scholar
Stevenson, J. (2019), “Bugles, trumpets, and beltrami”, Meditations on Mathematics, Vol. 24.Google Scholar
Suznjevic, M., Mandurov, M. and Matijasevic, M. (2017), “Performance and QoE assessment of HTC Vive and Oculus Rift for pick-and-place tasks in VR”, pp. 1–3, 10.1109/QoMEX.2017.7965679. ISSN: 2472-7814.CrossRefGoogle Scholar
Tian, Y., Meng, X., Tao, D., Liu, D. and Feng, C. (2015), “Upper limb motion tracking with the integration of IMU and Kinect”, Neurocomputing, Vol. 159, pp. 207–218, 10.1016/j.neucom.2015.01.071.Google Scholar
Tinguy, X.d., Howard, T., Pacchierotti, C., Marchal, M. and Lécuyer, A. (2020), “WeATaViX: WEarable Actuated TAngibles for VIrtual reality eXperiences”, Vol. 12272, pp. 297–306.CrossRefGoogle Scholar
Whitmire, E., Benko, H., Holz, C., Ofek, E. and Sinclair, M. (2018), “Haptic Revolver: Touch, Shear, Texture, and Shape Rendering on a Reconfigurable Virtual Reality Controller”, in: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI ’18, Association for Computing Machinery, New York, NY, USA, pp. 1–12, 10.1145/3173574.3173660.Google Scholar
Wittmann, F., Lambercy, O. and Gassert, R. (2019), “Magnetometer-Based Drift Correction During Rest in IMU Arm Motion Tracking”, Sensors, Vol. 19 No. 6, p. 1312, 10.3390/s19061312. Number: 6 Publisher: Multidisciplinary Digital Publishing Institute.Google Scholar
Yi, H., Hong, J., Kim, H. and Lee, W. (2019), “DexController : Designing a VR Controller with Grasp- Recognition for Enriching Natural Game Experience”, in: 25th ACM Symposium on Virtual Reality Software and Technology, VRST ’19, Association for Computing Machinery, New York, NY, USA, pp. 1–11, 10.1145/3359996.3364263.Google Scholar
Zenner, A., Degraen, D., Daiber, F. and Krüger, A. (2020), “Demonstration of Drag:on - A VR Controller Providing Haptic Feedback Based on Drag and Weight Shift”, in: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI EA ’20, Association for Computing Machinery, New York, NY, USA, pp. 1–4, 10.1145/3334480.3383145.Google Scholar