Video and Audio Behavioral Assessment for Faster Diagnosis
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Solution Overview
Problem
Traditional methods for evaluating behavioral disorders, developmental delays, and neurologic impairments are inefficient and inaccurate due to the relatedness of condition types, often leading to missed diagnoses and incorrect assessments.
Innovation Solution
The use of video and audio analysis through machine learning algorithms to identify behavioral units and patterns, which are then classified to accurately assess conditions such as ADHD, autism, and speech disorders using mobile computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional observational techniques are used to evaluate behavioral disorders, developmental delays, and neurologic impairments, then the evaluation process can be performed with simple equipment, but the diagnostic accuracy is low and the evaluation time is excessive
Solution Approach 1:
The patent segments the complex evaluation process into distinct analytical components: video data processing, audio data processing, behavioral unit identification, pattern recognition, and diagnostic assessment. This segmentation allows each component to be optimized independently, improving overall diagnostic accuracy while maintaining efficient processing through modular analysis pipelines.
Solution Approach 2:
The patent replaces traditional mechanical observational techniques with automated computational systems that use machine learning algorithms to analyze video and audio data. This substitution eliminates human observer variability and enables simultaneous processing of multiple behavioral parameters, significantly improving diagnostic accuracy without extending evaluation time.
2Measurement precision
If traditional observational techniques are used to evaluate behavioral disorders, developmental delays, and neurologic impairments, then the evaluation process can be performed with simple equipment, but the diagnostic accuracy is low
Solution Approach 1:
The patent creates a universal evaluation system that can assess multiple condition types (behavioral disorders, developmental delays, neurologic impairments) using the same platform. The system processes video and audio data through unified machine learning models that identify behavioral units and patterns across different diagnostic categories, improving diagnostic accuracy while avoiding the need for separate specialized systems for each condition type.
Solution Approach 2:
The patent introduces computational algorithms as intermediaries between the raw video/audio data and the diagnostic conclusions. These machine learning models serve as mediators that automatically extract behavioral units, identify patterns, and generate diagnostic assessments, thereby improving accuracy while shielding clinicians from the complexity of raw data analysis.
3Productivity
If traditional observational techniques are used to evaluate behavioral disorders, developmental delays, and neurologic impairments, then the evaluation process can be performed without automated analysis systems, but the evaluation efficiency is low
Solution Approach 1:
The patent performs preliminary automated analysis of video and audio data to identify behavioral units and patterns before clinician review. This preliminary action pre-processes the data, extracts relevant features, and generates initial assessments, thereby improving evaluation efficiency by reducing the time clinicians need to spend on manual observation and analysis.
Solution Approach 2:
The patent enables the evaluation system to automatically perform data processing, behavioral unit identification, pattern recognition, and diagnostic assessment without requiring continuous human intervention. The automated system serves itself by processing evaluation data end-to-end, improving productivity while maintaining high levels of automation that can be supervised rather than directly controlled by clinicians.
Data Source
AI summary
Described herein are methods, devices, systems, software, and platforms used to evaluate individuals such as children for behavioral disorders, developmental delays, and neurologic impairments. Specifically, described herein are methods, devices, systems, software, and platforms that are used to analyze video and/or audio recordings of individuals having one or more behavioral disorders, developmental delays, and neurologic impairments.