Controlling Computer Features Through Hand Gesture

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.