  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.
