Gesture Sense: Controlling Computer System Using Hand and Eye Gesture

@article{1716554,
      author = {Raj Palande, Rohit Surve, Roshan Pawar, Kalpana Gangwar},
      title = {Gesture Sense: Controlling Computer System Using Hand and Eye Gesture},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {1848-1854},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1716554.pdf},
      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},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1716554}
  }