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@article{176312,
        author = {Zari Abdul Ahad Sameer and Choudhar Dada Ramdas and Ravindra Bagade Omkar and Prof. Chavan Ganesh Baban},
        title = {VIRTUAL MOUSE AND KEYBOARD THROUGH GESTURE CONTROL},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7209-7212},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176312},
        abstract = {This paper presents a gesture recognition-based input system combining virtual mouse and keyboard functionality using advanced hand and eye tracking. Designed for contactless interaction, this system uses real-time webcam feeds processed through computer vision algorithms (MediaPipe and Haar Cascade). It allows precise cursor control via eye gestures and efficient keyboard input via hand tracking. The integration of Kalman filtering, PyAutoGUI, and Pygame ensures smooth operation. This environmentally sustainable system is tailored for hygienic, accessible use cases like healthcare, education, and public terminals.},
        keywords = {Gesture recognition, virtual mouse, virtual keyboard, human-computer interaction, MediaPipe, Haar cascade, Kalman filter.},
        month = {April},
        }