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Controlling Computer Features Through Hand Gesture
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Author(s): C. V. Suresh Babu (Hindustan Institute of Technolgy and Science, Chennai, India), J. Sivaneshwaran (Hindustan Institute of Technology and Science, India), Gokul Krishnan (Hindustan Institute of Technology and Science, India), Keerthi Varshaan (Hindustan Institute of Technology and Science, India)and D. Anirudhan (Hindustan Institute of Technology and Science, India)
Copyright: 2023
Pages: 29
Source title:
AI-Based Digital Health Communication for Securing Assistive Systems
Source Author(s)/Editor(s): Vijeyananthan Thayananthan (University of South Wales, UK)
DOI: 10.4018/978-1-6684-8938-3.ch005
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Abstract
This chapter introduces an AI-driven hand gesture recognition system designed to enhance computer settings control, prioritizing improved accessibility and user experiences. Leveraging machine learning algorithms trained on a dataset of relevant hand gestures (e.g., volume and brightness control), this project emphasizes data analysis for trend identification and system refinement. Successful outcomes could stimulate further research and innovation, potentially revolutionizing accessibility and user experience solutions. Ultimately, this endeavor aims to empower computer users with a more intuitive and accessible means of adjusting settings, contributing significantly to human-computer interaction advancement.
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