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Gesture Sense: Controlling Computer System Using Hand and Eye Gesture
  • Author(s): Raj Palande; Rohit Surve; Roshan Pawar; Kalpana Gangwar
  • Paper ID: 1716554
  • Page: 1848-1854
  • Published Date: 20-04-2026
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 10 April-2026
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Abstract

Human–computer interaction has significantly improved with advancements in computer vision and AI. This paper presents an adaptive gesture-based control system for both physically challenged and general users. It operates in two modes: eye-controlled for users with limited mobility and hand gesture-based for standard users. Using a webcam, the system captures facial landmarks and hand movements to perform real-time actions like cursor control, keyboard input, app switching, brightness, and volume control. The proposed system provides an efficient, low-cost, and accessible alternative to traditional input devices.

Keywords

Gesture Recognition, Eye Tracking, Human-Computer Interaction

Citations

IRE Journals:
Raj Palande, Rohit Surve, Roshan Pawar, Kalpana Gangwar "Gesture Sense: Controlling Computer System Using Hand and Eye Gesture" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 1848-1854 https://doi.org/10.64388/IREV9I10-1716554

IEEE:
Raj Palande, Rohit Surve, Roshan Pawar, Kalpana Gangwar "Gesture Sense: Controlling Computer System Using Hand and Eye Gesture" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1716554

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