Survey on Real Time Hand Gestures Recognition Using Convolutional Neural Network

Abstract

Gesture Recognition is one of the most important part of research today. Many new algorithms are being developed recently in today‟s upcoming technologies. In the day to day life, mobile devices like phones or tablets are very common and being widely used among all people of world. These devices are connected with high speed networks and provide strong communications. These devices are often an enormous help    for    the people    that aren't ready to communicate properly and even in emergency conditions.    For    a    disabled one    that isn't able to speak     or an     individual who      speaks a special language, these devices are often a boon as understanding, translating and speaking systems for these people. This chapter   discusses a transportable android based hand sign recognition system which may be employed by disabled people. This paper presents a comprehensive review on vision-based hand gesture recognition, with a stress on    dynamic   hand   gestures.   First, a quick introduction   of the   essential concepts and the classification of hand gesture recognition techniques are given. Then, variety of popular related technologies and interesting applications are reviewed. Finally, we give some discussion on the present challenges   and   open    questions during this area and mean an inventory of possible directions for future work.