Abstract: This paper presents an innovative approach to enhance the recognition of human hand postures within the realm of Human-Computer Interaction (HCI) applications. The primary objectives are to streamline computing processes, minimize user effort, and enhance comfort in hand posture manipulation. The authors introduce a novel application designed for computer mouse control, leveraging a sophisticated algorithm and hand feature selection methodology. Through rigorous testing, the application demonstrates commendable performance in terms of time efficiency. Moreover, the integration of hand postures with a voice assistant further enhances user experience, facilitating smoother system operation. Overall, this research offers promising advancements in HCI by amalgamating intuitive hand gestures with intelligent technological solutions.
Keywords: Human-Computer Interaction(HCI), Gesture Recognition, Opencv, Mediapipe, Mouse Control, Machine Learning.
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DOI:
10.17148/IJARCCE.2024.13560
[1] Prof. J. S. Pawar, Akshay Abhaykumar Ghegadmal, Sneha Nilesh Kamble , Venkatesh Sandip Kamble , Saurabh Navnath Mungase, "Gesture Controlled Mouse: Navigating Virtually with Hand Gestures," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13560
