Key points are not available for this paper at this time.
Abstract Hand tracking and gesture recognition are rapidly developing fields with many applications in human-computer interaction (HCI). This technology enables computers to recognize and respond to hand movements and gestures, creating a more natural and intuitive interface. With the increasing popularity of augmented reality (AR) and virtual reality (VR) devices, the demand for advanced hand tracking and gesture recognition technologies is growing. The purpose of this research is to study the current state of the art in hand tracking and gesture recognition and to develop new and improved techniques for HCI applications with 'You only look once' (YOLO) models that result in the improvement of the user's immersive feeling in the virtual world. The research results will be used in a virtual electrical power lab along with the learning management system. To evaluate the implementation, the surveys will be administered before and after the classes. The research will contribute to advancing the technologies by developing new and improved hand tracking and gesture recognition algorithms and integrating them into HCI applications.
Ali et al. (Sun,) studied this question.