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.

翻译：近年来，由于计算机视觉技术的进步，手势识别领域涌现了大量研究。该领域已概念化并开发出多种新颖应用。本文探讨了手势识别系统在游戏、医疗保健、家用电器、工业机器人和虚拟现实等多个领域的应用实现。本综述对不同的手势捕捉方法进行了比较与对比，并讨论了多种数据源及数据采集技术。同时研究了手势在手语中的作用，评述了现有方法，并探讨了构建手势识别系统时面临的常见挑战。