Controlling the Computer using Hand Gestures
Shubhangi Kadam Pradnya Kedari · Multimedia Research · 2022
Human-computer interaction platforms have many ways to implement as webcams and other devices like sensors are inexpensive and can get easily be available in the market.The most powerful way of communicating between humans and machines is through gestures.For higher conveyance between the human and machine/computer to convey information, the hand gesture system is very useful.Hand gestures are a sort of nonverbal type of communication that may be employed in several fields.Research and survey papers included hand gesture applications that have acquired different alternative techniques, including those supported by sensor technology and computer vision.In this system, we aimed to build a real-time gesture recognition system using hand gestures.Particularly, we will use the convolutional neural network (CNN) throughout the process.This application presents a hand gesture-based system to control a computer that is performing different operations using a neural network.Our application is defined in five phases, Image frame acquisition, Hand tracking, Features extraction, Recognition of gestures, and Classification (performing the desired operation).An image from the webcam will be captured, and so hand detection, hand shape feature extraction, and hand gesture recognition are done.