Wearable Bio-input Sensor for Continuous User-transparent Authentication
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Solution Overview
Problem
Conventional biometric systems are cumbersome and require active user involvement for operation, limiting usability and security, as they often necessitate specific actions and procedures for sensing biometric parameters, and lack continuous validation capabilities.
Innovation Solution
A wearable apparatus with integrated sensors that can sense bio-inputs such as cardiac waves, brain waves, or facial patterns without requiring dedicated user action, using electrocardiography, magnetocardiography, or imaging sensors, and a processor that compares these inputs with standards to authorize access or control devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional biometric systems require active user instruction and control for sensing, then measurement precision can be maintained, but ease of operation deteriorates
Solution Approach 1:
The system performs biometric sensing automatically without requiring user initiation or control. The sensor continuously monitors biometric parameters and the processor automatically compares them against stored templates to authenticate the user, eliminating the need for users to actively operate the system while maintaining security and precision
Solution Approach 2:
The biometric sensing operates continuously rather than intermittently. The sensor continuously captures biometric data and the system continuously validates user identity, providing ongoing security without requiring repeated user actions. This continuous operation maintains measurement precision while simplifying user interaction
2Reliability
If conventional biometric systems require specific sensing actions from users, then reliability can be maintained, but loss of time increases
Solution Approach 1:
The system performs biometric template comparison immediately upon sensing without requiring user preparation or specific actions. The processor automatically retrieves stored templates and compares them with current sensor readings, eliminating time-wasting user actions while maintaining authentication reliability through continuous validation
Solution Approach 2:
The system replaces manual user actions with automated electronic sensing and processing. Instead of requiring users to physically interact with sensors in specific ways, the system uses automated sensors to detect biometric parameters and electronic processors to perform authentication, reducing time loss while maintaining reliability
3Reliability
If biometric validation is performed only once at session beginning, then ease of operation is improved, but reliability deteriorates
Solution Approach 1:
The system performs continuous biometric validation throughout the entire session rather than a single validation at the beginning. The sensor continuously monitors biometric parameters and the processor continuously compares them against stored templates, maintaining reliable authentication while appearing seamless to the user. This continuous operation ensures security without requiring users to perform repeated validation actions
Solution Approach 2:
The system automatically performs continuous validation without requiring user initiation or awareness. The sensor and processor work autonomously to maintain authentication throughout the session, providing ongoing reliability while maintaining ease of operation by eliminating the need for user involvement in the validation process
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables user-transparent system control, enhancing usability and security by allowing continuous validation and automatic activation of devices without user intervention, improving the efficiency and reliability of biometric authentication.
Implementation Method 1
The sensor may be adapted to sense a cardiac wave of the subject, a brain wave of the subject
Implementation Method 2
using electrocardiography, magnetocardiography, or imaging sensors
Implementation Method 3
a retinal pattern of the subject, an iris pattern of the subject, a vein pattern of the subject, a skin texture pattern of the subject, a facial color distribution of the subject
Data Source
AI summary
A wearable sensor vehicle with a bio-input sensor and a processor. When the vehicle is worn, the sensor is arranged so as to sense bio-input from the user. The sensor senses bio-input, the processor compares the bio-input to a standard, and if the standard is met the processor indicates a response. The user may be uniquely identified from the bio-input. One or more systems on or communicating with the vehicle may be controlled transparently, without requiring direct action by the user. Control actions may include security identification of the user, logging in to accounts or programs, setting preferences, etc. The sensor collects bio-input substantially without instruction or dedicated action from the user; the processor compares bio-input against the standard substantially without instruction or dedicated action from the user; and the processor generates and/or implements a response based on the bio-input substantially without instruction or dedicated action from the user.