A REVIEW ON IMPLEMTATION OF SIGN LANGUAGE TRANSLATOR
Karishma Khobragade, Maheshwari Warhade , Prof.Y.D.Choudhari , Krushna Gedam, Vasundhara Sagare , Isha Shendurkar
Dept. Information Technology
KDKCE,Nagpur,India
Abstract -
As artificial intelligence technology has advanced, it has become commonplace to employee gesture detection to control virtual objects. The suggested system in this research is a hand gesture- controlled virtual mouse that uses AI algorithms to recognize hand gestures and transform them into mouse movements. People who have trouble using a conventional mouse or keyboard can use the system to provide an alternate interface. The suggested method takes pictures of the user's hand with a camera, which an AI program then utilizes to identify the motions the user is making. Since the development of computer technology, the method for constructing a process of human- computer interaction is advancing. The mouse is one of the best pieces of HCI (Human- Computer Interaction) technology ever created.
This article suggests an HCI-based virtual mouse system that makes use of hand movements and computer vision. webcam or built-in camera recordings of gestures that have been subjected to a color segmentation and detection procedure. This system uses a webcam or an integrated camera to capture frames. It then processes the frames to make them trackable, identifies various user motions, and executes mouse functions. In order to make the interaction more effective and dependable, this study suggests a vision-based system to control various mouse behaviors, such as left and right clicking, using hand gestures. This system uses a webcam or an integrated camera to capture frames. It then processes the frames to make them trackable, identifies various user motions, and executes mouse functions. Therefore, the suggested mouse solution removes the need for a device to use a mouse. Therefore, it can be seen that the development of HCI technology is advantageous.
Keywords- HCI (Human Computer Interaction), Hand Gesture, Gesture Recognition, OpenCV, Media-pipe, pyAutoGUI.
