A Comprehensive Study on Gesture Detection

Abstract

The advent of technologies made our lives more comfortable with their rapid spread in various sectors like business, education, productive industry, marketing, health sector, and many more. Computer vision being an interdisciplinary field has a large scope of applications, and among them, object detection carries a vital role and has wide spread in various fields of study. Object detection exhibits a potentiality in numerous applications like image and video annotation, gesture detection, etc. In this regard, a preliminary research is carried out on sign language gesture recognition to review and facilitate the road map of earlier research findings. The work is carried with a focus on the recent developments and the enormous techniques and tools that were introduced to handle gesture recognition varying from mathematical models to deep learning models with its advantages and limitations. Issues like computational complexity and accuracy with respect to the various verticals of the sign language interpretation are explored and are listed with their remarkable outcomes.