Biometric Authentication with Motion-Adjusted Imager Settings
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Solution Overview
Problem
Existing biometric authentication systems for electronic devices do not dynamically adjust access levels based on user movement and position, offering only binary access control, which is not adaptable to real-time conditions.
Innovation Solution
An electronic device that captures initial and secondary image data sets using multiple imagers and motion sensors, adjusting settings based on user motion to authenticate and grant varying levels of access, allowing for multiple access levels and environmental context consideration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If biometric authentication systems use traditional binary access control, then the system is simple and easy to implement, but it cannot adapt to real-time dynamic conditions such as user movement and position
Solution Approach 1:
The patent applies dynamics by transitioning from static binary access control to dynamic multi-level access control that adapts in real-time based on user motion detection. The system continuously monitors user movement and adjusts access levels accordingly, making the access control mechanism flexible and responsive to changing conditions rather than fixed and rigid.
Solution Approach 2:
The system changes the parameter of access control from a fixed binary state (access or no access) to a variable multi-level state. By introducing multiple access levels that can be dynamically adjusted based on motion parameters, the system achieves adaptability while managing complexity through structured parameter variation rather than complete system redesign.
2Reliability
If the system captures multiple sets of image data and adjusts settings based on motion, then authentication confidence increases, but the time required for authentication increases
Solution Approach 1:
The system implements periodic action by capturing image data in multiple discrete phases (first set, second set) at different time points during the authentication process. Each capture phase uses motion-detected settings adjustments to efficiently gather authentication data, reducing unnecessary captures while maintaining high confidence through systematic multi-phase verification.
Solution Approach 2:
The patent applies feedback by using motion detection results to dynamically adjust imager settings between capture phases. The system monitors user motion and uses this feedback information to optimize capture parameters in real-time, ensuring that each image set is captured with appropriate settings that maximize authentication accuracy while minimizing total authentication time through adaptive rather than fixed capture intervals.
Data Source
AI summary
An electronic device is able to alter one or more settings of its imager based on the motion of a user that the device is attempting to authenticate. The electronic device, in one implementation, captures a first set of image data of the user (e.g., a video or still photo of the user), detects motion of the user, alters a setting of the imager based on the motion, captures a second set of image data of the user, and authenticates the user based on the second set of image data. In some implementations, the electronic device has multiple imagers, and activates one or more additional imagers based on the detected motion of the user.