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.
|
DOI:
10.17148/IJARCCE.2024.13560
