Sign Language Recognition Based on Gesture Recognition/Holistic Features Recognition: A Review of Techniques

Abstract

Sign Language is now a part of important means of communication, covering the domain of deaf-mute communication, controlling robots through pose movements, exoskeleton, medical application, and home automation. There is plenty of research going on gesture recognition methods/techniques (using wearable sensors, computer vision), stacking it with other technologies for automation, and forming a means of communication between deaf/mute/blind individuals. Our paper highlights some of the best techniques that have surfaced in the past years and their limitations. Also, it tabulates the performance of those techniques their drawbacks and how to improve it, the dataset used, background condition. This study offers an in-depth survey of gesture recognition systems with a short discussion on use of sign language translation.