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 :
- 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.
- 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.
- Mehta, P., Narayanan, R., et al. (2024). Multi-User Mobile AR for Cardiovascular Surgical Planning. IEEE VIS, 2024.
- Unity Technologies. (2023). AR Foundation Documentation. Unity 6.0 LTS.https://docs.unity3d.com/Packages/[email protected]/manual/index.html
- Google. (2024). MediaPipe Hands: On-device Real-time Hand Tracking. https://google.github.io/mediapipe/solutions/hands.html
- Ultralytics. (2024). YOLOv8: State-of-the-art Object Detection. https://docs.ultralytics.com/
- 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.