Human Computer Interaction using Hand Gesture Recognition

Abstract

Human-Computer Interaction (HCI) is an essential aspect of modern technology, as it enables users to interact with devices in a more natural and intuitive way. Gesture recognition systems are a novel and promising approach to HCI that allows users to control their devices using body movements. This technology has already found applications in a variety of fields, including gaming, healthcare, automotive, and smart home automation. However, there are several challenges associated with developing and implementing gesture recognition systems, including accuracy, reliability, and user adoption. As there is a significant barrier between the user and the machine, using a physical device for human-computer interaction, such as a mouse or keyboard, prevents natural interface. An organic, cutting-edge, and contemporary method of nonverbal communication is provided by a hand gesture recognition system. It can be used in many different contexts for human-computer interaction. We have developed a reliable hand gesture recognition system that effectively tracks hand gestures in this paper. Our system transforms the observed gesture into customized actions like print, save, copy, and paste. Our findings demonstrate that intuitive HCI is feasible with the least amount of hardware. The goal of a HCI system is to assist the user in daily tasks seamlessly such that there is no performance effect on the tasks that the user is doing. HCI system acts as a background program and hence it is imperative that it utilizes the minimum amount of hardware resources possible.