Automated Attention Assessment Using Iris Tracking
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Solution Overview
Problem
Current attention assessment techniques for neurodevelopmental and psychiatric disorders, such as autism spectrum disorder (ASD), are hindered by the need for expensive equipment and laboratory settings, making them ineffective for natural settings and limiting early detection and monitoring.
Innovation Solution
An automated attention assessment system using a computing platform with a camera to analyze head and iris positions of users watching videos with dynamic region-based stimuli, providing attention assessment information indicative of neurodevelopmental disorders, which can be performed on affordable devices like smartphones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precise and constrained means of monitoring attention using expensive equipment in laboratories are used, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses video recordings as copies of actual user behavior instead of requiring complex real-time laboratory equipment. The video-based approach captures attention patterns through standard cameras and displays, creating a simplified replica of the assessment process that maintains diagnostic accuracy while eliminating expensive specialized equipment
Solution Approach 2:
The patent replaces complex mechanical eye-tracking equipment with a software-based image processing system that analyzes video frames. Instead of using specialized optical devices to track eye movements, the system uses standard camera footage combined with computer vision algorithms to detect iris position and determine attention patterns
2Measurement precision
If expensive laboratory equipment is used for attention assessment, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system is designed to be administered without requiring specialized operators or laboratory staff. The automated video-based assessment can be conducted by non-experts using standard devices, and the software automatically processes the video data to generate attention metrics, making the assessment accessible in diverse settings without requiring trained personnel
Solution Approach 2:
The patent creates a universal assessment tool that can be deployed on various standard devices (smartphones, tablets, computers) rather than requiring specialized laboratory equipment. The system works across different platforms and settings, enabling attention assessment in clinical offices, homes, and other natural environments without compromising measurement quality
3Measurement precision
If constrained laboratory settings are used for attention monitoring, then measurement precision is improved, but adaptability deteriorates
Solution Approach 1:
The patent transitions from static, constrained laboratory protocols to a dynamic system that adapts to natural settings. The video-based approach allows assessment in moving or uncontrolled environments, and the software can process videos captured in various lighting conditions and positions, making the system adaptable to real-world scenarios while maintaining measurement accuracy
Solution Approach 2:
The patent introduces video recordings as an intermediary medium between the user and the assessment system. Instead of requiring direct real-time interaction in a controlled laboratory, the video capture and playback mechanism serves as a buffer that allows the assessment to occur in natural settings while still enabling precise measurement of attention patterns through frame-by-frame analysis
Data Source
AI summary
The subject matter described herein includes methods, systems, and computer readable media for automated attention assessment. According to one method, a method for automated attention assessment includes obtaining head and iris positions of a user using a camera while the user watches a display screen displaying a video containing dynamic region-based stimuli designed for identifying a neurodevelopmental and/or psychiatric (neurodevelopmental/psychiatric) disorder; analyzing the head and iris positions of the user to detect attention assessment information associated with the user, wherein the attention assessment information indicates how often and/or how long the user attended to one or more regions of the display screen while watching the video; determining that the attention assessment information is indicative of the neurodevelopmental/psychiatric disorder; and providing, via a communications interface, the attention assessment information, a diagnosis, or related data.