Revolutionizing Media and Gaming with AI: Advancements in Body Measurement Calculation, Motion Tracking, Gesture Recognition, and Upper Limb Segmentation

This contribution discusses the potential of Artificial Intelligence (AI) to enhance Human-Computer Interaction (HCI) methods. Researchers at the Laboratory of Computer Graphics and Parallel Computing at the University of Basilicata have developed several AI-based systems for HCI applications. These systems include an upper limb segmentation system, an XR gesture recognition system, and a virtual dressing room that utilizes Body Tracking and Anthropometric Measurement Systems. The systems use deep learning algorithms to accurately track body movements and interpret hand gestures in real-time, creating a more natural and intuitive interaction with XR environments. The virtual dressing room enables users to create a 3D model of themselves and try on virtual clothing and accessories, ensuring a perfect fit through Anthropometric Measurement System calculations. These AI-based systems have significant potential to enhance user experience and interaction in the HCI field.