Real Time Gameplay using Pose Detection

In order to improve gaming experiences, this article discusses the difficulties and advancements in pose detection technologies. Pose detection, made possible by developments in artificial intelligence, computer vision, and real-time processing, has revolutionized video game play by allowing body motion controls in place of conventional controllers. The accuracy and dependability concerns that beset current posture detection systems—such as occlusion, fluctuating lighting, and the high expense of sophisticated sensors—are the main issues that this work attempts to address. By using enhanced AI-driven motion analysis algorithms that have been trained on sizable human motion datasets, the suggested method improves realism and lowers tracking errors while achieving more precise real-time pose detection and prediction. The improvements over earlier systems, such as the motion controllers for the Nintendo Wii and Microsoft Kinect, are what make this work innovative. This paper shows how contemporary VR platforms can offer more sensitive and thorough full-body movement tracking than the simple gesture-based controls of previous systems. The authors also look into how to make these technologies more usable by players who have physical restrictions. When compared to the latest state-of-the-art pose detection frameworks, the work's results demonstrate a [X]% increase in accuracy and a [Y]% decrease in latency over the previous top-performing system. Extensive user testing confirmed that these developments made it possible for consumers to have a more immersive and interesting gaming experience. Overall, by using cutting-edge AI-powered position detection technology, this research significantly enhances the accessibility, physical engagement, and interactivity of motion-based and virtual reality games.