Facial Touch Detection via Image Analysis
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Solution Overview
Problem
Current methods for reducing facial touch frequency, such as physical reminders and conscious engagement, are ineffective in making facial avoidance a subconscious habit, and existing systems for monitoring and providing feedback on facial touches are limited in detecting active movements and group training settings.
Innovation Solution
A system and method that uses a display to detect hand-to-face gestures through facial image analysis, generating feedback in the form of heat maps and real-time warnings to help users become aware of and reduce their facial touch habits, even during active movement and in group settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computer-based systems monitor activities using camera and motion sensors to detect patterns of limited movement, then feedback can be provided on eating behavior, but the system cannot detect facial touches during active movement or when user's back is to the camera
Solution Approach 1:
The patent introduces facial recognition technology as an intermediary to detect facial touches. Instead of relying solely on motion patterns, the system uses computer vision to directly analyze facial images and detect hand-to-face gestures, enabling accurate detection regardless of user movement state or camera position
Solution Approach 2:
The patent replaces the mechanical motion-sensing approach with an optical-based facial recognition system. By substituting the mechanical detection method (motion sensors) with optical analysis (facial image processing), the system achieves detection capability across diverse scenarios including active movement and when user's back is to the camera
2Ease of operation
If existing systems provide feedback to individuals attempting to reduce facial touches, then individual behavior can be monitored, but the system cannot be easily adapted to group training formats
Solution Approach 1:
The patent designs the system with multi-functionality to serve both individual and group training needs. The facial recognition and feedback mechanism can operate in individual mode for personal behavior monitoring or in group mode for training sessions, making the system universally applicable to different training formats without requiring separate systems
3Loss of information
If physical reminders and conscious engagement methods are used to reduce facial touches, then users can be made aware of their behavior, but significant concentration is required and habits cannot become subconscious
Solution Approach 1:
The patent implements automated feedback mechanisms that provide users with real-time or post-event information about their facial touch frequency. This feedback loop allows users to become aware of their habits without requiring constant conscious attention, as the system automatically monitors and reports the behavior patterns
Solution Approach 2:
The system enables users to self-monitor their facial touch habits through automated tracking and reporting. By providing users with their own behavioral data, the system allows them to independently become aware of their patterns without requiring external reminders or continuous conscious effort
Data Source
AI summary
A method of adapting a display comprises receiving a sequence of a plurality of facial images of a face of at least one user located in front of a display; analyzing the plurality of facial images to detect a hand to face gesture of the user; and updating, according to the hand to face gesture, a dataset documenting a plurality of facial touch event frequencies of a plurality of facial touch events in a plurality of facial locations. Each of the plurality of facial touch events is prompted by one of a plurality of previously captured hand to face gestures of the user. The method further comprises, based on the plurality of facial touch event frequencies, generating a presentation on the display. In response to detection of an impending facial touch, a destruction event may be depicted. A presentation may be also generated showing scoring of multiple persons.