A COMPUTER VISION BASED VIRTUAL HAND GESTURE RECOGNITION SYSTEM

Abstract

Researchers are presently directing their efforts towards the development of devices characterized by reduced hardware dependencies. The domain of computer vision technology is experiencing a notable surge in advancement and innovation. Consequently, this article suggests the integration of hand gestures as an input modality to facilitate the creation of a virtual mouse and keyboard interface. The proposed method operates by utilizing a webcam to detect and interpret hand movements, allowing users to interact with the computer system without the need for physical hardware peripherals such as a mouse or keyboard. This virtual input system holds significant advantages, particularly in situations where physical device space is constrained. Notably, it mitigates issues related to battery consumption, which is often a concern in conventional input methods reliant on power-hungry hardware components. Furthermore, this innovative approach bears the potential to contribute to the containment of the rapid transmission of contagious agents, such as the Coronavirus, by reducing the need for physical contact with shared input devices. Additionally, this technology offers considerable utility to individuals who may face challenges when employing a traditional physical keyboard and mouse. Leveraging computer vision techniques, the virtual keyboard and mouse control system presented herein is designed to enhance user accessibility and usability, providing a more intuitive and adaptable interaction method.

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