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@article{191722,
        author = {Komal Prajapat},
        title = {Gesture-Controlled User Interface for Disabled Users},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {61-63},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191722},
        abstract = {Traditional computer interfaces rely heavily on keyboards, mice, and touch input, which create accessibility barriers for users with physical disabilities. This paper proposes a gesture-controlled user interface (GCUI) designed to assist disabled users in interacting with digital devices using hand gestures. The system uses a standard camera and computer vision techniques to detect and interpret gestures in real time. MediaPipe and OpenCV frameworks are utilized for hand landmark extraction and gesture recognition. The proposed method reduces the need for external hardware, making it cost-effective and easy to deploy. Experimental results show high accuracy in gesture detection and responsiveness, demonstrating the system’s potential for enhancing digital accessibility.},
        keywords = {Gesture-Controlled User Interface (GCUI), Human-Computer Interaction (HCI), Accessibility Technology, Assistive Computing},
        month = {},
        }