Department of Computer Science and Engineering, Meenakshi Sundararajan Engineering College, Chennai, India.
Review Article
World Journal of Advanced Research and Reviews, 2022, 14(03), 466-472
Article DOI: 10.30574/wjarr.2022.14.3.0565
Received on 13 May 2022; revised on 14 June 2022; accepted on 17 June 2022
In today's international, anyone opts for instant interaction with complicated structures that ensure a brief response. Thus, with increasing improvement in technology, reaction time and ease of operations are the issues. Here is where human-computer interaction comes into play. This interplay is unrestricted and challenges the used gadgets consisting of the keyboard and mouse for input. Gesture recognition has been gaining tons of attention. Gestures are instinctive and are often utilized in everyday interactions. Therefore, communicating using gestures with computer systems creates an entire new trend of interaction. In this assignment, with the help of laptop vision and deep studying techniques, person hand movements (gestures) are used in real-time to manipulate the media player. In this project, seven gestures are defined to control the media gamers' usage of hand gestures. The proposed internet application permits the person to use their neighborhood device digicam to become aware of their gesture and execute the control over the media participant and comparable packages (with no extra hardware). It will increase performance and make interaction convenient through letting the user manage his/her pc/laptop from a distance.
Computer Vision; Deep Learning; Hand Gestures Recognition; Media Player Control
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Monisha Sampath, PriyadarshiniVelraj, Vaishnavii Raghavendran and M Sumithra. Controlling media player using hand gestures with VLC media player. World Journal of Advanced Research and Reviews, 2022, 14(3), 466-472. Article DOI: https://doi.org/10.30574/wjarr.2022.14.3.0565