Audio and Visual Input Analysis for Real-Time Mental Health Detection
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Solution Overview
Problem
Current methods for diagnosing mental and behavioral issues rely on in-person appointments, which may miss symptoms and hinder timely diagnosis and appropriate treatment, and lack comprehensive patient data over time.
Innovation Solution
A computing device with a microphone and image sensor records audio and visual inputs during artwork production, using tiered memory to store and compare these inputs against a reference library, providing real-time diagnosis and assistance through an AI model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If in-person appointments and patient/caretaker memory are used for diagnosis, then device complexity is reduced, but measurement precision and reliability of diagnosis deteriorate due to incomplete symptom capture
Solution Approach 1:
The computing device performs multiple functions: recording audio, capturing images, storing data in tiered memory, and comparing against reference libraries. This multi-functionality consolidates what would otherwise require separate diagnostic tools and human observation, improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
The system creates digital copies of patient symptoms through audio recordings and images, which can be stored and analyzed repeatedly without degradation. These copies enable precise comparison against reference libraries, significantly improving diagnosis accuracy while keeping the physical examination process simple
2Loss of information
If comprehensive audio and visual data are recorded and stored, then loss of information is reduced, but use of energy and device complexity increase due to tiered memory requirements
Solution Approach 1:
The memory system is segmented into multiple tiers with different characteristics. Frequently accessed diagnostic data is stored in faster, more energy-efficient memory tiers, while less frequently accessed historical data is stored in slower tiers. This segmentation reduces overall energy consumption while maintaining complete symptom data
Solution Approach 2:
Different portions of stored data have different quality requirements. The system optimizes storage quality locally based on data importance and access frequency, using higher-quality storage for critical diagnostic information and acceptable-quality storage for archival data, thereby reducing total energy usage while preserving essential information
3Productivity
If real-time comparison with reference library is performed, then productivity of diagnosis is improved, but device complexity and measurement precision requirements increase
Solution Approach 1:
The reference library is prepared and organized in advance with standardized symptom patterns and diagnostic criteria. This preliminary organization enables rapid comparison during actual diagnosis without requiring complex real-time processing, thus improving productivity while managing device complexity
Solution Approach 2:
The system extracts only the most relevant features from audio and visual data for comparison against the reference library, rather than analyzing complete raw data. This extraction of essential characteristics reduces processing complexity while maintaining diagnostic speed and accuracy
Data Source
AI summary
Methods, devices, and systems associated with audio and visual input analysis are described. A method can include recording audio during production of artwork using a microphone, storing the audio recording in tiered memory, generating an image of the artwork using an image sensor, storing the image of the artwork in the tiered memory, receiving a reference library including a number of audio recordings and a number of images of artwork, comparing the image of the artwork to the number of images of artwork and the audio recording to the number of audio recordings, and providing an output in response to at least one of: the image of the artwork matching one of the number of images of artwork or the audio recording matching one of the number of audio recordings.