Published Paper Details:

In today's world, everybody opts for quick interaction with complicated systems that guarantee a fast response. Thus, with increasing improvement in technology, interval and simple operations are the issues. Here where human-computer interaction comes into play. The vision-based technology of hand gesture recognition is vital part of human-computer interaction (HCI). Owing to the fast development of hardware and software system, new forms of HCI strategies are needed. Technologies like voice recognition and gesture recognition receive nice attention within the field of HCI. Deaf and dumb people lack in correct communication with traditional individuals and realize it troublesome to properly express themselves. Thus, they're subjected to face several problems during this regard. The sign language is extremely common among them and that they use it to convey themselves. In this project, with the assistance of computer vision and deep learning techniques, user hand movements (gestures) are employed in time period to manage multiple applications. In this project, seven gestures are outlined to manage multiple applications using hand gestures. This application allows the user to use their device camera to spot their gesture and execute the management over the multiple applications (without any extra hardware). It will increase potency and makes interaction easy for the user to manage his/her laptop/desktop from a distance.