Abstract
The purpose of this paper was to test UWB (ultra wide-band) tracking technology in augmented reality mode to achieve an environment where more than two users can interact with virtual content (3D models, intelligent avatars) in large rooms or open-air environments. The study showed that there is much potential for this technology despite precision not being very high. Position measurements and participant experience confirmed that these visualization and tracking technologies can be successfully used in Smart City infrastructures, collaborative training environments and other use cases.
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References
Libelium Comunicaciones Distribuidas, Libelium Smart World infographics. http://www.libelium.com/resources/top_50_iot_sensor_applications_ranking/#show_infographic
Cirulis, A.: Ultra wideband tracking potential for augmented reality environments. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2019. LNCS, vol. 11614, pp. 126–136. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-25999-0_11
Giang Nam, K., et al.: On building smart city IoT applications: a coordination-based perspective. In: Proceedings of the 2nd International Workshop on Smart, pp. 1–6 (2016)
Naranjo, P.G.V., et al.: FOCAN: a Fog-supported smart city network architecture for management of applications in the Internet of Everything environments. J. Parallel Distrib. Comput. 132, 274–283 (2019)
Rashid, Z., et al.: Using Augmented Reality and Internet of Things to improve accessibility of people with motor disabilities in the context of Smart Cities. Future Gener. Comput. Syst. 76, 248–261 (2017)
Liu, X., et al.: Overview of spintronic sensors with Internet of Things for smart living. IEEE Trans. Magn. 55(11), 1–22 (2019)
Reitmayr, G., Drummond, T.: Going out: robust model-based tracking for out-door augmented reality. In: Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality. IEEE Computer Society (2006)
UWB Technology: Sewio Networks, s.r.o. (2018). https://www.sewio.net/uwb-technology/
Ultra Wideband Positioning: Eliko Tehnoloogia - Sensing The Future (2018). https://www.eliko.ee/services/ultra-wideband-positioning/
Leinen, S.: Samplicator. https://github.com/sleinen/samplicator/commits?author=sleinen
Eschosports. http://www.echosports.eu/#how-it-works
Acknowledgements
This work is post doctorate research project funded by ERAF, project number: 1.1.1.2/VIAA/1/16/105. Project name: Dynamic 3D visualization of the Internet of Things (IoT) elements in outdoor augmented reality (AR) modes. Research activities take place at the Faculty of Engineering at Vidzeme University of Applied Sciences, and specifically, in the virtual reality technologies laboratory. The project relates to Latvia’s Smart Specialization Strategy (RIS3). Specifically, the project aims to contribute to the number 4 priority and number 5 specialization “Modern Information and Communication Technologies”.
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Cirulis, A. (2020). Large Scale Augmented Reality for Collaborative Environments. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Design Approaches and Supporting Technologies. HCII 2020. Lecture Notes in Computer Science(), vol 12188. Springer, Cham. https://doi.org/10.1007/978-3-030-49282-3_23
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DOI: https://doi.org/10.1007/978-3-030-49282-3_23
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