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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 7

Published on: July 2026

GESTURE CONTROLLED INSTRUMENT PANEL IN AUGMENTED REALITY USING LABVIEW

Spriha Dibbi Manas Panjwani Roshan Sarmah Thrisha Kumar Dr. Venkatesh S

Dr. Tabitha Raj

Department of Electronics & Instrumentation Engineering RV College of Engineering Bengaluru, Karnataka, India
DOI:https://doi.org/10.55041/ijcope.v2i7.034

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Abstract

This project focuses on developing an augmented reality-based gesture control system using LabVIEW, where hand gestures are captured using a webcam, processed using classical image processing techniques, and interpreted to control system outputs. Multiple intermediate image representations are displayed on the front panel to provide insight into each stage of processing, making the system both functional and educational. Unlike virtual reality, which replaces the real environment entirely, AR preserves the real-world view and augments it with additional data. In gesture-based AR systems, users can see both their physical gestures and the system’s interpretation of those gestures simultaneously, leading to more intuitive interaction.

Index Terms—Augmented Reality, Gesture Control, LabVIEW, Image Processing, Human Computer Interaction.

How to Cite this Paper

Dibbi, S., Panjwani, M., Sarmah, R., Kumar, T. & S, V. (2026). Gesture Controlled Instrument Panel in Augmented Reality Using LabVIEW. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(7). https://doi.org/10.55041/ijcope.v2i7.034

Dibbi, Spriha, et al.. "Gesture Controlled Instrument Panel in Augmented Reality Using LabVIEW." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 7, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i7.034.

Dibbi, Spriha,Manas Panjwani,Roshan Sarmah,Thrisha Kumar, and Venkatesh S. "Gesture Controlled Instrument Panel in Augmented Reality Using LabVIEW." International Journal of Creative and Open Research in Engineering and Management 02, no. 7 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i7.034.

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References


  1. Santosh Reddy, M. Rout, and S. Banerjee, “Hand Gesture-Based Robot Control Using LabVIEW,” in Proceedings of the International Conference on Emerging Trends in Engineering and Technology, 2022.

  2. V. S. Reddy, “LabVIEW Based Hand Gestures Control,” in Proceedings of the International Conference on Advanced Materials, Manufacturing and Smart Devices (ICAMMSD), Atlantis Press, 2025.

  3. “Hand Gesture Recognition System to Control Soft Front Panels,” International Journal of Engineering Research & Technology (IJERT), 3, no. 1, pp. 1–5, 2016.

  4. “Gesture Controlled Robot Using LabVIEW Vision and DAQ Techniques,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), 4, no. 5, pp. 230–234, May 2016.

  5. Zhang, “A Flexible New Technique for Camera Calibration,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330–1334, 2000.

  6. Y. Zhang and C. Y. Suen, “A Fast Parallel Algorithm for Thinning Digital Patterns,” Communications of the ACM, vol. 27, no. 3, pp. 236–239, 1984.

  7. C. Gonzalez and R. E. Woods, Digital Image Processing, 4th ed., Pearson Education, 2018.

  8. National Instruments, LabVIEW Vision Development Module User Manual, National Instruments Corporation.

  9. National Instruments, IMAQ Vision Concepts Manual, National Instru-ments Corporation.

  10. K. Patil and P. R. Patil, “Real-Time Hand Gesture Recognition System Using LabVIEW and Vision Assistant,” International Journal of Computer Applications, vol. 179, no. 7, pp. 22–27, 2018.

  11. R. Jadhav and S. A. Ladhake, “LabVIEW-Based Vision System for Hand Gesture Recognition,” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), vol. 5, no. 6, pp. 1852–1856, 2016.

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  • •Review follows editorial policy.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Jul 04 2026
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