ARTIFICIALLY INTELLIGENT AVATARS OF REAL-WORLD ATHLETES

Smart overview of the Invention

The patent application introduces a method and system for creating avatars of real-world athletes using artificial intelligence. These avatars are designed to mimic the athletes' visual appearance and linguistic expressions. Users can interact with these avatars in a more immersive manner, enhancing the overall user experience. The technology aims to provide a more genuine representation of athletes, improving engagement and accessibility across various demographics.

Technical Field

This invention falls within the realm of computer animation, digitized voice functions, and graphics rendering, focusing on the creation of athlete avatars. The approach leverages machine-learning models trained on athlete data, including video footage, to ensure realistic mimicry of movements and expressions. This methodology enhances the versatility and dynamism of the avatars, adapting them to different user inputs and contexts.

Feedback Mechanism

A key component is the feedback loop between real-world athletes and their avatars. Athletes provide feedback on avatar behavior and appearance, which is used to adjust the avatar for improved accuracy and personalization. This process ensures that the avatars remain effective representations of their human counterparts, offering a more engaging user experience through continuous refinement based on athlete input.

Engagement Through Notifications

The system includes a mechanism for requesting athlete feedback via notifications on their electronic devices. This approach increases athlete engagement by keeping them informed about avatar performance. Notifications offer a convenient way for athletes to provide feedback, capturing valuable data in real-time without requiring direct interactions. This timely feedback collection helps address issues swiftly, enhancing user satisfaction.

Advanced Interaction Features

The notification system can be tailored based on factors such as athlete location, activity level, or randomness. Location tracking methods include GPS and Wi-Fi triangulation, while activity levels are assessed through sensors like accelerometers and heart rate monitors. By leveraging these technologies, the system ensures timely and contextually relevant interactions with athletes, further refining avatar accuracy and effectiveness.