Immersive Analytics: Enhancing Telemetry Data Interpretation And Anomaly Detection Through Augmented Reality Visualization Pipelines
Keywords:
Augmented Reality, Telemetry, Data Visualization, Immersive AnalyticsAbstract
Background: The volume of telemetry data generated by modern systems—from spacecraft to medical devices—has outpaced the cognitive capacity of operators relying on traditional two-dimensional dashboards. Operators frequently suffer from information overload, leading to delayed reaction times in critical scenarios. This study explores the efficacy of Augmented Reality (AR) as a medium for "Immersive Analytics," proposing that spatial visualization can enhance the interpretation of complex sensor streams.
Methods: We developed a prototype visualization pipeline that ingests real-time telemetry data and renders it as 3D interactive overlays using mobile AR frameworks (ARKit/ARCore) and 3D modeling software (Blender/3ds Max). A comparative study was conducted with 50 participants monitoring a simulated complex system (a spacecraft thermal control unit). Participants were divided into a control group using standard 2D graphs and an experimental group using AR overlays mapped to physical equipment.
Results: The AR group demonstrated a 24% improvement in anomaly detection speed and a 16% reduction in interpretation errors. Furthermore, subjective feedback indicated a significant reduction in perceived cognitive load, although physical fatigue from holding devices remained a concern.
Conclusion: Augmented Reality offers a viable and superior alternative for specific telemetry monitoring tasks, particularly where spatial context is crucial. The findings suggest that integrating AR into control room environments can improve safety and efficiency in high-stakes industries like aerospace, healthcare, and structural engineering.
References
Read, A.J. T—Telemetry. In Encyclopedia of Marine Mammals, 2nd ed.; Perrin, W.F., Würsig, B., Thewissen, J., Eds.; Academic Press: London, UK, 2009; pp. 1153–1156.
Rymarczyk, T.; Adamkiewicz, P. Nondestructive Method to Determine Moisture Area In Historical Building. Inform. Autom. Pomiary Gospod. Ochr. Srodowiska 2017, 7, 68–71.
Woźniak, P.; Romanowski, A.; Yantaç, A.E.; Fjeld, M. Notes from the front lines: lessons learnt from designing for improving medical imaging data sharing. In Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, Helsinki Finland, 26–30 October 2014; pp. 381–390.
DeCelles, G.; Zemeckis, D. Chapter Seventeen—Acoustic and Radio Telemetry. In Stock Identification Methods, 2nd ed.; Cadrin, S.X., Kerr, L.A., Mariani, S., Eds.; Academic Press: San Diego, CA, USA, 2014; pp. 397–428.
Kaundal, A.; Hegde, V.; Khan, H.; Allroggen, H. Home video EEG telemetry. Pract. Neurol. 2021, 21, 212–215.
Cancro, G.; Turner, R.; Nguyen, L.; Li, A.; Sibol, D.; Gersh, J.; Piatko, C.; Montemayor, J.; McKerracher, P. An Interactive Visualization System for Analyzing Spacecraft Telemetry. In Proceedings of the 2007 IEEE Aerospace Conference, Big Sky, MT, USA, 18 June 2007; pp. 1–9.
Guerra, J.C.; Stephan, C.; Pena, E.; Valenzuela, J.; Osorio, J. SystMon: A data visualization tool for the analysis of telemetry data. In Proceedings of the Observatory Operations: Strategies, Processes, and Systems VI, Edinburgh, UK, 1 July 2016; Peck, A.B., Seaman, R.L., Benn, C.R., Eds.; International Society for Optics and Photonics, SPIE: Bellingham, WA, USA, 2016; Volume 9910, pp. 706–715.
Wang, C.; Ye, Z.; Wu, B.; Yin, H.; Cao, Q.; Zhu, J. The design of visualization telemetry system based on camera module of the commercial smartphone. In Proceedings of the Sensors, Systems, and Next-Generation Satellites XXI, Warsaw, Poland, 11–14 September 2017; Neeck, S.P., Bézy, J.L., Kimura, T., Eds.; International Society for Optics and Photonics, SPIE: Bellingham, WA, USA, 2017; Volume 10423, pp. 348–355.
Mathur, M.; Brozovich, J.M.; Rausch, M.K. A Brief Note on Building Augmented Reality Models for Scientific Visualization. 2022.
AR - Augmented reality and its history [electronic resource] URL: https://habr.com/ru/post/419437/
Namiot, D.E.; Romanov, V.Y. 3D visualization of architecture and metrics software. Scientific visualization, 2018, volume 10, number 5, page 123 - 139, DOI: 10.26583/sv.10.5.08
Online platform for creating projects with augmented reality «Web-AR.Studio» [electronic resource] URL: https://web-ar.studio/ru
D modeling software «Blender» [electronic resource] URL: https://ww.blender.org/
D modeling software «3Ds max» [electronic resource] URL: https://ww.autodesk.com/products/3ds-max/
Online platform for accounting of analytics «Yandex metric» [electronic resource] URL: https://metrika.yandex.ru/
Dip Bharatbhai Patel 2025. Incorporating Augmented Reality into Data Visualization for Real-Time Analytics. Utilitas Mathematica . 122, 1 (May 2025), 3216–3230.
Apple Development Toolkit - ARKit [Electronic Resource] URL: https://developer.apple.com/augmented-reality/arkit/
Augmented Reality Game with Geolocation Recognition Algorithm - PokemonGO [Electronic Resource] URL: https://ww.pokemon.com/
Google software development tool - ARCore [electronic resource] URL: https://developers.google.com/analytics/
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dr. Helmina R. Al-Kharousi
This work is licensed under a Creative Commons Attribution 4.0 International License.
