Vehicle User ID Confirmation via Facial Expression Recognition
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Solution Overview
Problem
Existing user recognition systems for vehicles rely solely on face recognition, which may not ensure accurate identification without additional user interaction, and lack integration with expression recognition to confirm user identity.
Innovation Solution
A system that combines face recognition with expression recognition to verify user identity through facial expressions, allowing automatic device settings and updates without requiring user motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If body motion is used for ID confirmation, then the system can verify user identity, but the operation becomes cumbersome and inconvenient
Solution Approach 1:
The patent replaces the mechanical body motion system with an optical expression recognition system. Instead of requiring users to perform physical actions like nodding or gesturing, the system captures facial expressions through an image sensor, analyzes expression features algorithmically, and confirms user identity based on recognized expressions. This substitution eliminates the need for cumbersome body motion while maintaining reliable verification.
2Productivity
If face recognition technology is used to identify users, then user ID recognition becomes faster, but additional confirmation steps are needed to ensure accuracy
Solution Approach 1:
The patent merges the face recognition function and expression recognition function into a unified identification system. The image sensor captures facial images that are simultaneously processed for both face feature extraction (to identify the user) and expression feature extraction (to confirm the user). This merging allows the system to perform both identification and confirmation in an integrated manner, improving efficiency while managing complexity through functional integration.
Solution Approach 2:
The system implements a feedback mechanism where the face recognition result is displayed to the user, and then the expression recognition serves as a confirmation feedback loop. The user sees their identified ID on the display, and the system waits for a confirming facial expression (such as a smile or nod). This feedback process ensures accuracy by allowing the user to verify the recognition result before final confirmation, adding a layer of reliability without significantly increasing system complexity.
3Measurement precision
If expression recognition is added to confirm user ID, then identification accuracy improves, but the system complexity increases
Solution Approach 1:
The patent makes the image sensor and processing system universal by enabling it to perform multiple functions: capturing images for face recognition, extracting expression features for confirmation, and controlling the display and other vehicle systems. Rather than adding separate dedicated hardware for expression recognition, the system uses the existing image processing infrastructure to also handle expression analysis, thereby improving confirmation accuracy without proportionally increasing device complexity.
Data Source
AI summary
A vehicle device setting method including: capturing, by an image sensing unit, a first image frame; recognizing a user ID according to the first image frame; showing ID information of the recognized user ID on a screen or by a speaker; capturing a second image frame; generating a confirm signal when a first user expression is recognized by calculating an expression feature in the second image frame and comparing the recognized expression feature with stored expression data associated with a predetermined user expression to confirm whether the recognized user ID is correct or not according to the second image frame captured after the ID information is shown; controlling an electronic device according to the confirm signal; and entering a data update mode instructed by the user and updating setting information of the electronic device by current electronic device setting according to a saving signal generated by confirming a second user expression in a third image frame captured after the user ID is confirmed through showing the ID information.