Manuscript Number : SHISRRJ247250
Hand Controlled Media Player using Hand gestures Through Machine Learning
Authors(2) :-K. Satyam, Pillarikuppam Suma The advent of many natural types of device-free communication can bring several benefits to human-computer interaction. Utilising gestures as a means of communication with computers creates a new paradigm for computer interaction because they are a natural way for us to connect with one another in daily life. Integrating natural forms of device-free communication can greatly improve human-computer interaction. Given the pervasiveness of gestures in human interaction, they have great potential as a natural interface for computers. This paper describes the development of a low-cost, vision-based input device that uses gesture detection to control media playing, with a focus on the VLC player. The system extracts and recognises movements from picture data by utilising computer vision techniques such as the K Nearest Neighbour algorithm. This provides an alternative to traditional mouse-based control. Gesture identification in a variety of settings is made possible by hand motion detection and cropping from static backdrops using optical flow techniques. User-centric design approaches are given priority in the proposed Hand-Controlled Media Player abstraction, with a focus on accessibility and simplicity.
K. Satyam Human Computer Interaction, Gestures, Computer vision, Gesture recognition techniques, media player control,K Nearest Neighbors (KNN) algorithm, Static background recognition, Lucas-Kanade Pyramidical Optical Flow Algorithm. Publication Details Published in : Volume 7 | Issue 2 | March-April 2024 Article Preview
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Pillarikuppam Suma
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Date of Publication : 2024-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 167-172
Manuscript Number : SHISRRJ247250
Publisher : Shauryam Research Institute
URL : https://shisrrj.com/SHISRRJ247250