Motion and Biometric Sensor Fusion for Secure User Authentication
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Solution Overview
Problem
Existing electronic devices face challenges in providing secure user authentication, particularly due to limitations in addressing spoofing and phishing threats, and restrictions on device size and sensor mounting, such as on smart watches or devices without separate sensors like high-performance cameras or fingerprint recognition sensors.
Innovation Solution
An electronic device equipped with at least one motion sensor and at least one biometric sensor, along with memory and processors, performs user authentication by acquiring signals from these sensors to determine motion and biometric information, which are then input into a user authentication model to verify the user's identity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprint recognition sensor or high-performance camera is mounted for user authentication, then authentication security is improved, but device size and complexity increase
Solution Approach 1:
The patent combines motion sensing capabilities with existing biometric sensors to create a unified authentication system. The motion sensor detects specific movement patterns while biometric sensors verify physiological characteristics, merging two authentication modalities into a single integrated system that enhances security without requiring separate dedicated sensors for each function
Solution Approach 2:
The biometric sensors are designed to serve multiple functions: traditional biometric verification and motion-based authentication. By making the sensors universal, the system can perform both static biometric checking and dynamic motion analysis using the same hardware components, reducing the need for additional specialized sensors
2Ease of operation
If traditional biometric authentication is used, then user convenience is improved, but vulnerability to spoofing and phishing attacks increases
Solution Approach 1:
The system performs preliminary motion analysis before completing the authentication process. By detecting and analyzing motion patterns in advance, the system can identify potential spoofing attempts early in the authentication sequence, preventing unauthorized access while maintaining smooth user experience for legitimate users
Solution Approach 2:
The system incorporates feedback mechanisms where motion detection results influence the authentication decision process. The motion information provides continuous feedback about the authentication state, allowing the system to adjust its security response in real-time based on the detected motion patterns, thereby enhancing security against spoofing attempts
Data Source
AI summary
An electronic device and a method of controlling the electronic device are provided. The electronic device includes at least one motion sensor, at least one biometric sensor, memory storing one or more computer programs, and one or more processors communicatively coupled to the at least one motion sensor, the at least one biometric sensor, and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors cause the electronic device to, based on receiving a request for user authentication, acquire a first signal through the at least one motion sensor, and acquire a second signal through the at least one biometric sensor, acquire motion information indicating a type of a user's motion based on the first signal, acquire biometric information indicating a biometric feature of a user according to the motion of the user based on the second signal, and input the motion information and the biometric information into a user authentication model, and perform the user authentication according to whether the type of the motion and the biometric feature match authentication information.