Computer Vision Techniques for Hand Gesture Recognition: Survey

Abstract

Hand gesture recognition has recently emerged as a critical component of the human-computer interaction (HCI) concept, allowing computers to capture and interpret hand gestures. In addition to their use in many medical applications, communication between the hearing impaired, device automation, and robot control, hand gestures are of particular importance as a form of nonverbal communication. So far, hand gesture recognition has taken two approaches and relied on a variety of technologies; the first on sensor technology and the second on computer vision. Given the importance of hand gesture recognition applications and technology development today, the importance of the research lies in shedding light on the latest techniques used in the recognition and interpretation of hand gestures. A survey on the techniques used from 2017–2022 has been presented in this research, with a focus on the computer vision approach. The survey was carried out as follows: the first part dealt with research based on artificial intelligence techniques for hand gesture recognition, and the second part focused on research that used artificial neural networks and deep learning for hand gesture recognition.