Handholding Authentication Using Biometric Configuration
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Solution Overview
Problem
Existing authentication methods, such as PIN, fingerprint, and facial recognition, face security risks and usability issues, including the potential for circumvention and user burden.
Innovation Solution
An authentication system that uses hand configuration recognition, combining biometric print sensor data, location information, pressure input, and angular incident data to uniquely identify users based on how they hold a device, with optional secondary authentication methods like PIN or facial recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (PIN, fingerprint, facial recognition) are used, then authentication functionality is provided, but security risks increase and user burden increases
Solution Approach 1:
The system automatically captures hand configuration data during natural device interaction without requiring users to consciously perform authentication actions. The processor automatically compares captured hand configuration against stored templates and triggers authentication outcomes, making the system self-serve the authentication function while users simply use the device naturally.
Solution Approach 2:
The system performs preliminary capture of hand configuration data during normal device usage before an authentication event occurs. By pre-capturing this biometric data during natural interaction, the system prepares authentication credentials in advance, eliminating the need for separate authentication actions and reducing user burden while maintaining security.
2Reliability
If hand configuration recognition is implemented, then authentication security is enhanced, but device complexity increases
Solution Approach 1:
The system uses existing device sensors (cameras, touchscreens, processors) already present for primary device functions to also capture and analyze hand configuration data. By making these existing components multi-functional, the system adds authentication capability without requiring entirely new hardware subsystems, thus limiting the increase in device complexity.
Solution Approach 2:
The system merges the authentication function with the device's existing user interface and sensor systems. Hand configuration capture is integrated into the normal display and touch interaction framework, combining multiple functions (display, touch input, biometric capture) into a unified system that reduces overall complexity compared to separate dedicated authentication hardware.
Data Source
AI summary
An apparatus may include a processor that may be caused to access handholding information indicating a hand configuration in which the apparatus is being held and compare the handholding information with previously-stored handholding authentication data of an authentic user. The previously-stored handholding authentication data may represent an authentic configuration in which the apparatus is held by the authentic user. The processor may be caused to determine that the apparatus is being held by the authentic user based on the comparison and cause an authenticated action to occur based on the determination.