Facial Accessibility Detection with Distance-Aware Communication Criteria
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Solution Overview
Problem
Existing devices fail to accurately determine accessibility for smooth communication with others, as they do not consider facial orientation, expression, or distance, leading to ineffective interaction, especially for visually impaired individuals.
Innovation Solution
An accessibility determination device that captures images to analyze facial organs, specifies face orientation, moving direction, and facial expression, and adjusts criteria based on distance to determine communication accessibility and notify the user when a target person is within range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only position transition is used to determine accessibility, then the determination is simple, but communication accuracy deteriorates when the person does not face the self, has an angry face, or is at a distance
Solution Approach 1:
The accessibility determination is divided into multiple independent evaluation dimensions: face orientation (facing the self?), facial expression (happy/angry?), and distance (within communication range?). Each dimension is evaluated separately using specific detection methods, and the overall accessibility is determined by combining these segmented evaluations. This allows the system to capture nuanced communication readiness that position alone cannot provide.
Solution Approach 2:
The system transitions from one-dimensional position-based detection to multi-dimensional assessment by adding facial orientation, facial expression, and distance dimensions. The processor evaluates at least two out of three dimensions (face orientation, facial expression, distance) to determine accessibility, creating a richer, more accurate picture of communication readiness that goes beyond simple position tracking.
2Measurement precision
If facial organ detection and multiple parameters are analyzed, then communication accuracy is improved, but device complexity increases
Solution Approach 1:
The imaging device serves multiple functions: capturing images for facial organ detection, determining distance through image analysis, and providing visual feedback to the user. The processor performs multiple evaluation tasks (face orientation detection, facial expression analysis, distance measurement, and accessibility determination) using the same input images, eliminating the need for separate sensors for each function and reducing overall system complexity.
Solution Approach 2:
The system uses the captured images themselves as the data source for multiple purposes rather than requiring separate detection systems. The same image data is processed to extract facial organ positions, calculate face orientation angles, determine distance based on image characteristics, and assess facial expressions, allowing the system to self-service multiple measurement needs from a single imaging operation.
Data Source
AI summary
An accessibility determination device may include an imaging device that captures images of a surrounding environment of a user at time intervals to acquire a plurality of captured images; a facial organ detector that analyzes the captured images to detect a facial organ of a person that makes a notification to the user when the accessibility determined by processor satisfies a predetermined criterion and the target detector detects that the person is the predetermined target person. The processor may change the accessibility or the predetermined criterion depending on a distance between the imaging device and the person.