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@article{195444,
        author = {SUPRIYA S and VINOTH A},
        title = {Gesture Recognition-based Mobile Application for Accessibility Control},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {53-57},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195444},
        abstract = {Gesture recognition systems have become a strong solution for improving accessibility in modern mobile apps. These systems let users interact with devices using hand gestures instead of traditional input methods like touchscreens, keyboards, or voice commands. This is especially helpful for people with physical disabilities, motor impairments, or speech difficulties.
The proposed system includes a mobile app that uses real-time hand gesture recognition to control various device operations. The app uses computer vision techniques and machine learning algorithms to accurately detect, track, and interpret hand gestures. It processes video input from the mobile camera, extracts hand landmarks, and classifies gestures into specific commands.
Moreover, the app includes accessibility features like text-to-speech feedback and simple user interfaces to make it easy to use. This solution aims to offer an inclusive, efficient, and user-friendly way to interact with mobile devices, thus enhancing the quality of life for users with disabilities.},
        keywords = {Gesture recognition, accessibility, mobile application, computer vision, machine learning, human-computer interaction, assistive technology.},
        month = {March},
        }