Electro-Biometric Signature System for Legal Identity Verification
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Solution Overview
Problem
Current electronic signature methods lack legal certainty and security in remotely identifying individuals and expressing their will, as they fail to distinguish between voluntary and involuntary actions, and do not adequately protect the principle of autonomy of will, especially in emergency or contingency situations.
Innovation Solution
A biometric and non-biometric data combination method that generates a bio-digital certificate for secure and remote electronic signature, ensuring the legitimacy and integrity of the signer's expression of will, using user profiles, segmented digital certificates, and emergency protocols to prevent unauthorized actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional electronic signature methods are used, then the signing process is simple and fast, but legal certainty and security are insufficient
Solution Approach 1:
The patent segments the electronic signature process into distinct phases: identification phase (capturing biometric data), expression of will phase (capturing voluntary action), and validation phase (verifying authenticity). Each phase is handled by separate functional modules that collect and process specific types of data independently, then integrate them to form a complete legal signature. This segmentation allows the system to maintain high reliability through comprehensive verification while managing complexity through modular design.
Solution Approach 2:
The patent creates a composite electronic signature structure that combines multiple types of data: biometric data (fingerprints, facial recognition), non-biometric data (IP addresses, device identifiers), temporal data (timestamps), and contextual data (location information). This composite approach ensures legal certainty by verifying both identity and voluntary action through multiple independent data sources, while the systematic integration of these diverse elements provides a robust framework that manages overall system complexity.
2Measurement precision
If biometric data is collected to verify identity, then identification accuracy improves, but security risks in emergency situations increase
Solution Approach 1:
The patent implements preliminary action by establishing emergency protocols and exit mechanisms before any signature operation occurs. The system pre-configures multiple verification methods and predefined emergency response procedures that can be activated if coercion is detected. This allows the system to maintain high identification accuracy through biometric verification while having pre-prepared security measures to neutralize potential harms in emergency situations.
Solution Approach 2:
The patent incorporates continuous feedback mechanisms that monitor the signature process for signs of coercion or emergency conditions. The system analyzes temporal patterns, physiological responses, and behavioral indicators during the signing process to detect abnormal conditions. When emergency situations are detected, the feedback loop triggers predefined security protocols that can terminate the operation or alert authorities, thereby maintaining identification accuracy while mitigating security risks.
3Reliability
If multiple verification steps are implemented, then security and legal validity improve, but processing time increases
Solution Approach 1:
The patent applies periodic action by implementing a tiered verification process that operates in distinct stages or cycles. The system performs rapid initial verification using readily available data (IP address, device ID), then progressively layers additional verification methods (biometric capture, liveness detection) only when needed. This periodic, staged approach ensures signature validity through comprehensive verification while minimizing processing time by avoiding unnecessary verification steps in routine transactions.
Data Source
AI summary
A method for producing an electro-biometric signature allowing legal interaction between and the identification of persons utilizing biometric features. The method includes inputting a user's biometric features in a pre-determined sequence and checking that no feature is entered repeatedly.