AR-X Flow: A Mobile-Based Augmented Reality Workspace


Authors : Anup H. Muralidhar; Adrian Richard Benjamin; Aishwarya S Biradar; B. Sumangala

Volume/Issue : Volume 10 - 2025, Issue 11 - November


Google Scholar : https://tinyurl.com/y6cttz6r

Scribd : https://tinyurl.com/bdcu5vcs

DOI : https://doi.org/10.38124/ijisrt/25nov1378

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Multi-screen setups improve productivity but require expensive hardware and desk space that many users cannot afford. AR glasses offer virtual displays but cost over $3000. This paper presents AR-X Flow, a mobile AR system that creates virtual monitors using smartphones people already own. The system uses pre-trained YOLOv8 to detect laptops and monitors, positioning virtual screens contextually. Planned features include MediaPipe gesture recognition and WebRTC streaming. This work investigates whether mobile AR can democratize multi-screen workflows without specialized hardware. Our implementation demonstrates successful object detection and mobile-backend communication, though substantial development remains for rendering, gestures, and streaming.

Keywords : Augmented Reality, Virtual Monitors, Gesture Recognition, Mobile AR, Workspace Productivity, Object Detection, Accessibility.

References :

  1. Vasarainen, M., Paavola, S., & Vetoshkina, L. (2021). A Systematic Literature Review on Extended Reality: Virtual, Augmented and Mixed Reality in Collaborative Working Life Settings. International Journal of Virtual Reality, 2021.
  2. Upadhyay, B., Brady, C., Madathil, K. C., Bertrand, J., & Gramopadhye, A. (2024). Collaborative Augmented Reality in Higher Education: A Systematic Review of Effectiveness, Outcomes, and Challenges. Applied Ergonomics, 2024.
  3. Mehta, P., Narayanan, R., et al. (2024). Multi-User Mobile AR for Cardiovascular Surgical Planning. IEEE VIS, 2024.
  4. Unity Technologies. (2023). AR Foundation Documentation. Unity 6.0 LTS.https://docs.unity3d.com/Packages/[email protected]/manual/index.html
  5. Google. (2024). MediaPipe Hands: On-device Real-time Hand Tracking. https://google.github.io/mediapipe/solutions/hands.html
  6. Ultralytics. (2024). YOLOv8: State-of-the-art Object Detection. https://docs.ultralytics.com/
  7. WebRTC Project. (2024). WebRTC: Real-Time Communication for the Web. https://webrtc.org

Multi-screen setups improve productivity but require expensive hardware and desk space that many users cannot afford. AR glasses offer virtual displays but cost over $3000. This paper presents AR-X Flow, a mobile AR system that creates virtual monitors using smartphones people already own. The system uses pre-trained YOLOv8 to detect laptops and monitors, positioning virtual screens contextually. Planned features include MediaPipe gesture recognition and WebRTC streaming. This work investigates whether mobile AR can democratize multi-screen workflows without specialized hardware. Our implementation demonstrates successful object detection and mobile-backend communication, though substantial development remains for rendering, gestures, and streaming.

Keywords : Augmented Reality, Virtual Monitors, Gesture Recognition, Mobile AR, Workspace Productivity, Object Detection, Accessibility.

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Paper Submission Last Date
31 - January - 2026

Video Explanation for Published paper

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