AI Gaze Tracking for Dynamic Visual Effects on Screens
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Solution Overview
Problem
Existing technologies lack the ability to dynamically apply visual effects to text based on a user's focus or gaze, such as glitter and sparkle effects, background animations, and emotion animations, without requiring manual interaction.
Innovation Solution
An artificial intelligence algorithm utilizing natural language processing (NLP) and machine learning (ML) to track the user's gaze on a screen and apply embedded visual effects, including glitter and sparkle effects, background animations, and emotion animations, triggered by the user's focus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual interaction is required to apply visual effects, then control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically detects user focus position and applies visual effects without requiring manual interaction. The AI algorithm monitors eye position, determines focus areas, and triggers embedded effects autonomously, allowing the system to serve itself rather than requiring user control inputs.
Solution Approach 2:
The patent replaces manual mechanical interaction with an optical detection system using cameras and sensors to track eye position. This substitutes the mechanical control paradigm with an optical field-based detection method, enabling automatic effect application based on gaze tracking.
2Adaptability or versatility
If AI algorithms and sensors are added to track gaze, then interactivity is improved, but device complexity increases
Solution Approach 1:
The patent integrates multiple functions into a unified system: the same camera and sensor hardware performs both gaze tracking and focus detection, while the AI algorithm simultaneously identifies eye position, determines focus areas, and selects appropriate visual effects. This multi-functionality reduces the need for separate dedicated components for each function.
Solution Approach 2:
The patent combines the gaze tracking algorithm, focus detection logic, and visual effect selection into a single integrated AI system. Rather than separate modules for tracking, analysis, and effect application, these functions are merged into one cohesive algorithm that processes sensor data and generates visual responses in unified operation.
3Illumination intensity
If visual effects are applied continuously, then visual appeal is improved, but energy consumption increases
Solution Approach 1:
Visual effects are applied periodically rather than continuously - they are triggered only when the user's focus enters a specific area and deactivated when focus moves away. This periodic activation based on user interaction patterns reduces energy consumption compared to continuous effect application, while maintaining visual appeal during relevant viewing moments.
Data Source
AI summary
The use of artificial intelligence to track someone's eye or eyes at any location of a screen, not head mounted (NHM), or projected visual plane to apply various visual effects and animations to and around the characters, texts, images, etc. they are viewing. This includes but is not limited to emotional animations, animated text, appearing and disappearing characters, background animations and visual effects related to words, characters, numbers, emotion animations and phrases being in view. The author can choose where these effects occur on a visual plane or around text, characters, emotional animations, numbers, etc. before, during or after the reader views the area around its location or choose to have the a.i. algorithm apply the effects for them. Effects can also be revealed through sounds the reader makes. The a.i. also tracks eye movements to be used as a pointer on a screen NHM or projected visual plane.