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@article{177508,
        author = {Ambati  Devi Priya and Prakash Bethapudi and Appari Suma Poornima and Bonthalkoti Mounika Venkata Sai and Bourothu Venkat},
        title = {Touchless Tech : Activating Applications Without Traditional Input Devices},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {942-948},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177508},
        abstract = {This project introduces an accessibility system designed to control a laptop without requiring a traditional mouse or keyboard. Instead, the system leverages hand gestures and face tracking to facilitate intuitive interactions. Hand gestures allow seamless operations such as opening and closing applications like Chrome and Notepad, as well as capturing screenshots. Face tracking is used to adjust volume and brightness through up, down, left, and right movements. This system aims to provide an alternative input mechanism for users with physical disabilities or those looking for a touch-free computing experience. The motivation behind this project stems from the increasing need for inclusive computing solutions that cater to individuals with limited mobility. Traditional accessibility tools such as voice commands or adaptive hardware solutions can be expensive or ineffective in certain situations. By integrating computer vision and artificial intelligence, this system provides a cost- effective and easy-touse alternative that can function with a standard webcam. The implementation focuses on real-time processing, ensuring minimal latency and high accuracy for gesture recognition and face tracking. Additionally, this system can be beneficial not only for individuals with disabilities but also for users who prefer a hands-free approach to computing, improving efficiency and reducing strain from prolonged use of physical input devices. With advancements in AI and machine learning, gesture- based controls are becoming increasingly viable, making this project a step forward in the development of accessible and intuitive human-computer interactions.},
        keywords = {Disabilities, Face Tracking, Frame Extraction, Gesture Recognition, Hand Gestures, Human Computer Interaction, Mobility, Motion, Reducing Strain.},
        month = {May},
        }