Sign language and hand gesture recognition using machine learning techniques
Janpreet Singh, Dalwinder Singh · 2023
The recognition of hand gestures offers an effective way to beat several challenges and also serve various facilities as well as assistance to individuals. The system’s capabilities can be used in widespread applications in order to comprehend the distinct actions and purpose of these actions performed by humans. Among these applications, sign language recognition is a significant domain in which researchers are showing their keen interest. This paper presented an accurate, comprehensive, and detailed review of the methodologies utilized by other authors in recent years for the recognition of sign language as well as hand gestures. The considered techniques are further classified into distinct phases such as data gathering, pre-processing of acquired data, segmentation, extraction of features, as well as classification. Each and every technique that is taken under consideration is thoroughly explained at each phase, and also, these methodologies have been compared with one another on the basis of their advantages. The limitations, as well as challenges that are faced during the process of recognition of hand gestures and sign language, are also discussed in this paper. Additionally, this paper will provide a thorough review of sign language and hand gesture recognition techniques to the readers and also motivates other researchers to do future research work in identical domains.