Volume Control feature for gesture recognition in Augmented and Virtual reality applications

Gesture recognition is the revolutionary change in the world of Virtual and Augmented reality development allowing seamless non-physical control of computerized devices to create a highly interactive and flexible hybrid reality. Volume has been controlled using buttons and switches in many devices. For enabling real-time experience as the mirrored interaction, gestures introduce a new arena in controlling features such as volume control using palm detection and hand tracking model. Gesture volume control can be utilized in various human-machine interactions such as gaming and media player control. The main objective of the study is to provide an overview of the concept of mounting digitalization utilizing for enhancing augment reality and virtual reality applications. In this proposed work, OpenCV library along with Pycaw and MediaPipe is used to implement gestures in Human-computer-interaction. The results obtained from the study yield results that were promising.