Efficient Hand Gesture Recognition System based on Computer Vision: An Overview

摘要

Gesture recognition has been applied in many fields such as human-machine interface (HCI), home automation, robot control, etc. Hand gestures can be considered as a form of nonverbal communication. Various techniques including software and hardware are used to improve hand gesture recognition. Unlike the use of sensors for gesture detection, the recognition algorithm can be as simple as conventional image processing methodology based on rule-based classification algorithms, or complicated as deep learning identification that uses large datasets and computational resources to achieve dynamic gesture recognition. This paper provides a brief review of the approaches for gesture recognition and applications in various fields on computer vision.