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@article{202758,
        author = {Dr. Shah Saloni Niranjan and Tanvi Dhananjay Mahajan and Sakshi Sunil Binawade and Sakshi Manohar Bhosale},
        title = {Thumb Gesture Controlled Mouse Movement Recognition System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {8561-8564},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202758},
        abstract = {This paper details the complete development of a vision-based human-computer interaction (HCI) framework that leverages thumb gestures for real-time mouse event simulation. Traditional input peripherals often present ergonomic challenges and require physical contact, which is undesirable in various professional environments. Our system utilizes a standard monocular RGB camera and a Python-based processing pipeline (OpenCV, NumPy, PyAutoGUI) to track the user’s thumb. By employing YCbCr color segmentation and contour analysis, we achieved a calibration-free interface capable of executing cursor movement, left/right clicks, and scrolling. The final implementation includes optimized noise filtering and an adaptive gesture recognition algorithm that maintains high accuracy across diverse lighting conditions. Experimental results confirm a recognition accuracy of over 92% with a processing latency of less than 30ms, making it a viable tool for hands-free computing.},
        keywords = {Gesture Recognition, Computer Vision, Human-Computer Interaction (HCI), Python, Virtual Mouse, Image Processing, OpenCV, Motion Tracking.},
        month = {May},
        }