Abstract: In recent years, significant progress has been made in the field of gesture detection and hand tracking, presenting both opportunities and challenges for human-computer interaction (HCI). This research focuses on harnessing these advancements to develop a hand gesture-controlled virtual mouse, particularly in light of the COVID-19 pandemic, where touchless interaction methods have gained prominence. The proposed system utilizes a standard webcam and Python with OpenCV for implementation, aiming to provide users with a seamless and intuitive interface for computer interaction. By interpreting hand movements as mouse actions, the system aims to reduce reliance on physical input devices and minimize direct contact with computer peripherals. Challenges such as ensuring robustness to varying conditions and achieving real-time performance are addressed in the development process, with the goal of supporting user engagement and productivity in virtual environments.
Keywords: OpenCV, Python, hand tracking
Cite:
M. Hemalatha, V. Sreeja, S. Aswathi, "Hand Gesture Controlled Virtual Mouse", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133143.
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DOI:
10.17148/IJARCCE.2024.133143
