Facial Device Selection Using Visual Anatomy and Bayesian Fit Scoring

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Solution Overview

Problem

Existing facial devices, such as CPAP masks, often fail to provide a precise fit and optimal comfort due to variations in user anatomical dimensions and personal preferences, leading to suboptimal operation and user experience.

Innovation Solution

A system and method for adaptively generating facial device recommendations based on visually determined anatomical dimension data using a Bayesian-based scoring metric, incorporating both quantitative and qualitative data, including user feedback and clinical data, to provide personalized device suggestions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If facial devices are designed with standardized sizes, then manufacturing cost and complexity are reduced, but fit precision and comfort deteriorate due to anatomical variations

Engineering Contradiction:

Improvefit precisionVSAvoiddevice complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system dynamically generates personalized facial device recommendations by processing user-specific anatomical data through a recommendation model, transforming static standardized devices into adaptive personalized solutions that optimize fit precision while maintaining manageable system complexity through automated algorithms

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameters of facial device selection by incorporating multiple anatomical dimensions (nose bridge width, nasal bone prominence, cheekbone structure, jawline shape) and user preferences into the recommendation process, enabling precise fit customization without requiring physical customization of each device

Inventive Principle:

Principle #35Parameter changes

2Reliability

If facial devices are customized to individual anatomical dimensions, then fit and comfort are improved, but manufacturing complexity and cost increase

Engineering Contradiction:

Improveoperational effectivenessVSAvoidease of manufacture

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The system enables self-service personalization where users provide their own anatomical data through image uploads, and the recommendation model automatically generates personalized device selections, eliminating the need for manual customization processes while maintaining high operational effectiveness

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual measurement and fitting processes with automated image processing and machine learning-based recommendation systems, substituting mechanical customization workflows with digital algorithms that simplify manufacturing while improving fit precision

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If comprehensive anatomical measurements are taken, then device fit precision is improved, but measurement time and user burden increase

Engineering Contradiction:

Improveanatomical dimension accuracyVSAvoidmeasurement time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system creates a digital copy of the user's facial anatomy through image processing, extracting anatomical dimensions from photographs or video frames without requiring physical measurements, thereby maintaining high measurement precision while eliminating time-consuming manual measurement processes

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent introduces image processing algorithms as an intermediary between the user and the measurement process, using visual data as a mediator to extract anatomical dimensions indirectly, which reduces direct user involvement and time investment while maintaining measurement accuracy

Inventive Principle:

Principle #24Intermediary (Mediator)

4Adaptability or versatility

If multiple device options are recommended, then user preference matching is improved, but selection complexity increases

Engineering Contradiction:

Improvepreference matchingVSAvoidease of selection

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system segments the device recommendation process into hierarchical levels, first filtering devices based on anatomical compatibility, then ranking them by user preference matching, and finally presenting a simplified ranked list that reduces selection complexity while maintaining adaptability to user preferences

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260045357A1Systems and methods of adaptively generating facial device selections based on visually determined anatomical dimension data

Publication Date: 2026.02.12 AR MEDICAL TECH INC

AI summary

Devices and methods for adaptively generating facial device selections based on visually determined anatomical dimension data. The device may include a processor and a memory. The memory may include processor-executable instructions for receiving image data representing a user face and determining anatomical dimension data associated with a nasal-oral region of the user face based on the received image data. The processor-executable instructions may be for generating one or more facial device recommendations based on a recommendation model and the anatomical dimension data and providing the one or more facial device recommendations for display at a user interface.