Ear Biometric Authentication in Head Wearables
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing head wearable devices lack effective biometric authentication methods that are secure and convenient, particularly in scenarios where traditional biometrics like facial recognition or fingerprint scanning may be impractical due to environmental or user-related factors.
Innovation Solution
The implementation of an ear biometric system using sensors and machine learning algorithms within head wearable devices to authenticate users by analyzing unique features of the human ear, which can include infrared sensing and motion detection to differentiate between living and artificial ears, and utilizing a limited depth of field to enhance privacy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional biometric methods (facial recognition, fingerprint scanning) are used, then authentication can be performed, but they are impractical due to environmental or user-related factors
Solution Approach 1:
The patent changes the biometric parameter from facial features or fingerprints to ear shape and structure. This parameter change enables authentication to work in environments where face and fingerprint recognition fail, such as when users wear masks, gloves, or when lighting conditions are poor, thereby improving both adaptability and reliability
Solution Approach 2:
The system creates a digital 3D model (copy) of the user's ear geometry and compares it against stored models for authentication. This digital copying approach allows for reliable comparison without requiring physical contact or exposing the user to environmental factors that would affect traditional biometrics
2Reliability
If ear biometric sensing is implemented, then authentication security is improved, but device complexity increases
Solution Approach 1:
The ear sensing module is integrated into the existing head wearable device framework, allowing the same hardware infrastructure (sensors, processor, memory) to serve multiple functions: ear biometric authentication, user identification, and potential future extensions. This multi-functionality approach improves security without proportionally increasing complexity
Solution Approach 2:
The patent replaces complex mechanical authentication systems (requiring physical contact, multiple sensors, manual verification) with an optical/electromagnetic sensing system that captures ear geometry and processes it through software algorithms, simplifying the overall system architecture while enhancing security
3Reliability
If limited depth of field is used for ear sensing, then privacy and security are enhanced, but the sensing area is restricted
Solution Approach 1:
The system applies local quality by focusing the sensor's depth of field specifically on the ear region where authentication is needed, while allowing the rest of the field to be out of focus. This concentrates the sensing capability on the critical authentication area, enhancing privacy by not capturing detailed images of the user's face or surroundings, while still providing sufficient sensing coverage for accurate ear recognition
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
This approach provides a robust and secure user authentication method that is less susceptible to spoofing attempts and can operate effectively even when other biometric data is obscured, enhancing user security and convenience in various applications, including VR and AR environments.
Implementation Method 1
The implementation of an ear biometric system using sensors and machine learning algorithms within head wearable devices to authenticate users by analyzing unique features of the human ear, which can include infrared sensing
Implementation Method 2
motion detection to differentiate between living and artificial ears
Data Source
AI summary
A method can include receiving sensed feature data of an ear via a sensor coupled to a head wearable device; comparing at least a portion of the sensed feature data to stored feature data in memory operatively coupled the head wearable device via a processor operatively coupled to the head wearable device; and, based at least in part on the comparing, authenticating an identity of a user of the head wearable device.