Face-Hand Biosignal Matching for Secure Device Operation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices face challenges in providing secure access control through multimodal interfaces due to the risk of theft or imitation in biometric authentication methods, necessitating improved user identification and authorization mechanisms.
Innovation Solution
An electronic device equipped with a camera and processor that extracts face and hand regions from images, acquires biosignals, and matches them to identify users, enabling secure access control through biosignal-based operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If biometric authentication methods are used for user identification, then ease of operation is improved, but reliability deteriorates due to risk of theft or imitation
Solution Approach 1:
The patent combines multiple biometric authentication methods (face recognition, fingerprint recognition, iris recognition) into a unified authentication system. The processor integrates results from multiple biosignal analysis modules to make authentication decisions, merging different recognition approaches to overcome the limitations of individual methods and achieve both ease of operation and high reliability
Solution Approach 2:
The authentication system uses a composite approach by analyzing multiple types of biosignals (facial features, fingerprint patterns, iris structures) simultaneously. The processor combines these different biosignal data types to create a comprehensive authentication decision, similar to how composite materials combine different properties to achieve superior performance
2Adaptability or versatility
If multimodal interface is implemented for user interaction, then adaptability is improved, but device complexity increases
Solution Approach 1:
The processor is designed with multi-functionality to handle various biosignal analysis tasks (face recognition, fingerprint recognition, iris recognition) and multiple input modalities (camera, sensor). This universal processor can adapt to different authentication methods and service requirements without requiring separate dedicated hardware for each function, thus improving adaptability while managing complexity
Solution Approach 2:
The processor acts as an intermediary that receives and integrates data from multiple biosignal sources and input devices. It mediates between the diverse input modalities and the output authentication decisions, simplifying the overall system architecture by providing a centralized integration point that manages the complexity of the multimodal interface
Data Source
AI summary
An electronic device is provided. The electronic device includes a camera, and at least one processor, wherein the at least one processor is configured to extract at least one face region and at least one hand region from an image captured by the camera, to acquire a biosignal from each of the extracted at least one face region and hand region, to match the face region and the hand region in the image using the acquired biosignals, to identify a user by performing face recognition on the image while acquiring the biosignal, and to identify a command for controlling an operation of the electronic device based on the biosignal in the hand region matching the face region for the identified user.