Biometric Sensor Integrated Keyboard for Continuous Authentication
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Solution Overview
Problem
Current user authentication methods for computing devices do not provide continuous verification, allowing unauthorized use after initial login, which compromises security and privacy.
Innovation Solution
Integration of a biometric sensor, such as a heartbeat monitor or vein scanner, into the computing device's housing to capture and compare biometric data in real-time while the user interacts with the device, ensuring continuous authentication by matching the captured data with stored records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional password-based authentication is used, then ease of operation is improved, but security and continuous verification are compromised
Solution Approach 1:
The patent combines traditional authentication methods with biometric sensing by integrating a biometric sensor into the keyboard housing. The system merges password verification with continuous biometric monitoring to provide both ease of operation and continuous security verification. The biometric sensor captures physiological data (heartbeat, vein patterns) while users interact with the keyboard, creating a layered authentication approach that maintains convenience while enhancing security.
Solution Approach 2:
The patent implements continuous authentication by maintaining biometric monitoring throughout the user interaction session. Rather than a single login event, the system continuously captures and compares biometric data during keyboard interaction. This continuous verification ensures that the user remains authenticated throughout the session, preventing unauthorized access while maintaining smooth user experience without requiring repeated manual authentication steps.
2Reliability
If biometric sensor is integrated into the housing, then continuous authentication capability is improved, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by integrating the biometric sensor into the existing keyboard housing structure. The sensor serves multiple purposes: it authenticates users continuously during keyboard interaction, captures biometric data for security verification, and works seamlessly with the existing input device infrastructure. This universal integration approach provides continuous authentication capability while leveraging existing device components to minimize additional complexity.
Solution Approach 2:
The patent uses the keyboard housing as an intermediary structure to accommodate the biometric sensor. Rather than adding a separate authentication device, the sensor is embedded within the existing keyboard assembly, using the housing as a mediator to integrate the new biometric functionality into the familiar input interface. This approach simplifies the overall system architecture by utilizing the keyboard structure as a platform for biometric authentication.
3Reliability
If biometric data is captured during interaction, then security verification is improved, but user awareness and acceptance may be affected
Solution Approach 1:
The patent implements self-service authentication where the biometric sensor operates automatically during normal keyboard interaction without requiring explicit user actions. The system captures biometric data passively as users type, eliminating the need for users to deliberately provide biometric samples. This self-service approach maintains high security verification while preserving ease of operation, as users are unaware that authentication is occurring but experience no additional friction in their interaction with the device.
Data Source
AI summary
A computing device includes a housing, a processor, memory, a human interface device (i.e., a keyboard or a trackpad), and a biometric sensor integrated into the housing. The biometric sensor is configured for capturing biometric data (i.e., heartbeat data or a vein scan) from one or more of hands of a user of the device while the user's fingers are interacting with the human interface device. The memory stores executable instructions that, when executed by the at least one processor, cause the computing device to: compare the captured biometric data to one or more records of biometric data associated with the user; determine, based on the comparison, whether the captured biometric data satisfies a matching condition with the one or more records of biometric data; and authenticate the user, when the captured biometric data satisfies the matching condition.


