Melody Subvocalization Authentication via Nerve Signal Detection
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Solution Overview
Problem
Conventional user authentication methods, such as passwords and biometric systems, face security weaknesses like data breaches and usability issues, and alternative methods like biometric authentication can be vulnerable to theft or manipulation.
Innovation Solution
A computing device and method that authenticates users based on melodies generated by the user, using audio or subvocalized representations, comparing them to reference melodies to determine similarity and grant access, thereby providing a secure and user-friendly authentication solution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If passwords are used for authentication, then ease of operation is improved, but security is worsened due to data breaches and brute-force susceptibility
Solution Approach 1:
The patent replaces the mechanical typing interaction (user physically pressing keys on a small keyboard) with a vocal interaction system. The user sings or hums a melody that is captured by a microphone and processed by audio analysis algorithms, eliminating the need for manual keyboard input while enhancing security through biometric-like vocal characteristics.
Solution Approach 2:
The patent transforms the authentication parameter from discrete keyboard inputs (password characters) to continuous audio signal parameters (melody frequency, timing, pitch contours). This parameter transformation enables more complex authentication data to be captured naturally through singing, increasing security without compromising ease of use.
2Ease of operation
If biometric information is used for authentication, then ease of operation is improved, but security is worsened due to vulnerability to theft and manipulation
Solution Approach 1:
The patent employs dynamic authentication where the user must actively sing or hum a melody in real-time, creating a dynamic biometric sample that is difficult to steal or replicate. The system analyzes temporal characteristics, pitch variations, and timing patterns that change with each performance, making static theft or replication ineffective compared to traditional static biometric storage.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes vocal characteristics and compares them against stored melodic patterns. This intermediary system processes the raw audio input through multiple analysis stages (frequency analysis, timing analysis, pattern matching) before authentication decisions are made, adding security layers that protect against direct biometric theft.
3Ease of operation
If simple passwords are used due to small keyboard constraints, then ease of operation is improved, but security is worsened due to increased brute-force susceptibility
Solution Approach 1:
The patent replaces the constrained mechanical keyboard interface with an acoustic input system using a microphone. This substitution removes the physical limitations of small keyboards, allowing users to input complex melodic patterns through singing without requiring manual dexterity or dealing with limited key availability on portable devices.
Data Source
AI summary
A computing device (300) for authenticating a user (110), such as a mobile phone, a smartphone, a tablet, or the like, is provided. The computing device is operative to acquire a representation of a melody generated by the user, and authenticate the user in response to determining that the acquired representation of the user-generated melody and a representation of a reference melody fulfil a similarity condition. The user-generated melody may either be vocalized or subvocalized. If the melody is vocalized, the representation is derived from audio data captured by a microphone (102). If the melody is subvocalized, the representation is derived from nerve signals captured by sensors attached to the throat (111) of the user, or from a video sequence acquired from a camera (103), the video sequence capturing one or more body parts (111-115) of the user subvocalizing the melody, by magnifying motions of the one or more body parts which are correlated with the subvocalized melody.