This invention presents a method and apparatus for enhancing augmented reality (AR) by dynamically adjusting content based on user gaze and interactions. It leverages machine learning, particularly Hidden Markov Models (HMM), to predict and adapt AR content in real-time, ensuring personalized and context-aware experiences. The HMM approach analyzes eye and head movements, making the system more intuitive and responsive to user behavior.

Cited By: Google Apple Meta Boeing IBM Sony, and more

This invention formulates a method for display device system for targeted advertising, utilizing machine learning to analyze viewing information and blockchain technology for managing smart contracts. The system dynamically selects relevant ads based on user engagement and executes these ads using smart contracts stored on a blockchain. This approach ensures secure sharing of ad data between display devices and advertisers, enhancing ad personalization and transparency in digital advertising.

Cited By: Salesforce LG NEC Paypal, and more

This invention devise a method and system for managing wide-view content in virtual reality (VR) using mathematical modeling. It employs in-focal and out-focal views to display 360-degree digital content, enhancing user interaction with VR scenes. The approach integrates convex projection techniques to create immersive experiences, allowing seamless transitions between viewpoints within the VR environment.

Cited By: Canon Xiaomi JVC and more

This patent describes a system that utilizes mathematical modeling and machine learning techniques, including Hidden Markov Models (HMM), to forecast viewer actions while engaging with advertisements. It dynamically captures user interest and contextual information to predict behavior patterns. The system then adapts the display schedule of advertisements in real-time, using AI-driven insights to enhance viewer engagement and optimize ad targeting.