Study and Survey on Gesture Recognition Systems

TL;DR

This survey reviews recent advancements in gesture recognition systems, comparing methodologies, discussing applications across sectors, and analyzing challenges and data acquisition techniques in the field.

Contribution

It provides a comprehensive overview of gesture recognition technologies, methodologies, and challenges, highlighting recent developments and applications across various industries.

Findings

Comparison of different gesture capture methodologies

Discussion of data sources and acquisition techniques

Review of gesture recognition applications in multiple sectors

Abstract

In recent years, there has been a considerable amount of research in the Gesture Recognition domain, mainly owing to the technological advancements in Computer Vision. Various new applications have been conceptualised and developed in this field. This paper discusses the implementation of gesture recognition systems in multiple sectors such as gaming, healthcare, home appliances, industrial robots, and virtual reality. Different methodologies for capturing gestures are compared and contrasted throughout this survey. Various data sources and data acquisition techniques have been discussed. The role of gestures in sign language has been studied and existing approaches have been reviewed. Common challenges faced while building gesture recognition systems have also been explored.