Hand Gesture Recognition For Video Player

Abstract

Hand Gesture Recognition (HGR) is an emerging technology that has numerous applications in various fields,
including human-computer interaction and robotics. In this project, we developed a Hand Gesture Recognition
system for video players that recognize hand gestures and perform actions such as play, pause, rewind, and fastforward.
The system was developed using Python programming language and the OpenCV, mediapipe,
pyautogui libraries. A dataset of hand gestures was created by recording videos using a webcam and annotating
the frames with corresponding labels. The Hand Gesture Recognition system achieved an accuracy of 92% on
the test set and was able to accurately recognize hand gestures and perform the corresponding actions on a
video player. The system has the potential to be used as a novel way to control video players, especially in
situations where the user cannot use a mouse or keyboard. In conclusion, the Hand Gesture Recognition system
developed in this project provides a promising solution for controlling video players using hand gestures.