Bio-signal User Identification via Status-Based Validity
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Solution Overview
Problem
Existing user identification methods, such as those using bio-matrices or pulse wave signals, often require users to be in a stable state and can be inconvenient, especially when users are engaged in typical activities.
Innovation Solution
A method and apparatus that sense user inputs, detect bio-signals, determine their validity based on status information like body temperature, pressure, and motion, and compare them with pre-stored reference signals to identify the user, allowing identification during typical activities without the need for stable states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user identification is conducted by selecting identity information through screen manipulation, then security can be maintained through password input, but user convenience deteriorates due to the need for manual manipulation and password entry
Solution Approach 1:
The patent replaces manual screen manipulation and password input (mechanical interaction) with automatic biometric recognition systems that detect physiological signals such as pulse waves, facial features, or fingerprint patterns. This substitution eliminates the need for user manipulation while maintaining security through unique biological characteristics.
Solution Approach 2:
The system performs user identification automatically by detecting and analyzing the user's own biological signals without requiring active participation. The user simply needs to present themselves (e.g., look at the camera, place finger on sensor), and the system completes the authentication process autonomously, enhancing convenience while preserving security.
2Ease of operation
If biometric authentication using bio-matrices such as fingerprint or iris is implemented, then user convenience improves by reducing manual manipulation, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent shifts from complex optical or capacitive sensing parameters (used in fingerprint and iris recognition) to simpler electrical impedance or pulse wave detection parameters. By measuring physiological signals through electrical properties rather than optical patterns, the system reduces device complexity while maintaining biometric authentication capabilities and user convenience.
Solution Approach 2:
The system employs low-cost sensing components that can be easily manufactured and integrated, replacing expensive specialized sensors required for fingerprint or iris recognition. This approach allows mass production with reduced device complexity while still providing convenient biometric authentication.
3Ease of manufacture
If pulse wave signal-based user identification is used, then manufacturing cost decreases compared to other bio-matrices, but measurement precision deteriorates when users are not in a stable state
Solution Approach 1:
The system performs preliminary detection of the user's physiological state before conducting the actual biometric measurement. By first assessing whether the user is in a suitable state (e.g., heart rate within acceptable range, proper finger placement), the system can determine whether to proceed with measurement or request the user to adjust, thereby maintaining measurement precision without requiring complex stabilization mechanisms.
Solution Approach 2:
The system continuously monitors the quality of the detected pulse wave signal and provides real-time feedback on measurement validity. When the signal quality falls below threshold (indicating user movement or unstable state), the system notifies the user to remain still or retry, and only proceeds with identification when adequate signal quality is achieved, thus maintaining precision despite low manufacturing cost.
Data Source
AI summary
Provided is a user identifying method using a bio-signal, the method including sensing a user input; detecting a bio-signal from the sensed user input; determining whether the detected bio-signal is valid, based on status information representing a status of a user at a moment when the user input is sensed; and identifying the user by comparing the bio-signal with at least one pre-stored reference bio-signal, according to a result of the comparing.