Hand gesture recognition enables more natural interaction with applications by recognizing hand movements as input. It aims to make mobile and web applications more friendly and easy to use by allowing hand gestures instead of traditional input devices like keyboards and mice. The system acquires image frames, segments the hand, tracks hand movements, extracts features for classification, and outputs the recognized gesture. This can provide more advanced and user-friendly games and experiences in virtual and augmented reality.

1. Hand Gesture Recognition System
Background:
It is a growing field inAI
User Interface of mobile and web application more friendly and easy.
Problem statement:
With the development of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen
are not sufficient. Due to the limitation of these devices the useable command set is also limited. Direct use of
hands can be used as an input device for providing natural interaction
Objectives/ Solution:
Enable web and mobile applications to recognize hand gestures.
Provide ease in virtual and augmented reality.
Aid in building more advanced and user-friendly, interactive games to entertain the public
Group members
Bakhtawar saeed(17-cp-44)
Imama safer(17-cp-90)
Image Frame
acquisition
Hand
segmentation
Hand tracking
Feature
extraction
classification
Output
Gesture
Block Diagram