Voice Authentication via Bluetooth Triangulation and Social Data
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Solution Overview
Problem
Current voice authentication methods lack efficient solutions for identifying and authenticating individuals in social networking and commercial transactions, particularly in situations where voice recognition is needed for security and localization, especially in environments with multiple speakers and varying degrees of social media connections.
Innovation Solution
A system and method utilizing Bluetooth 4.0 and WiFi triangulation in conjunction with voice ID databases to capture and authenticate voice samples, integrating social media data for enhanced recognition and localization, allowing for real-time identification and authentication of individuals through voice prints and multi-modal biometric data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voice authentication is performed in environments with multiple speakers, then the ability to identify specific individuals is improved, but the complexity of distinguishing between speakers increases
Solution Approach 1:
The patent segments the authentication process into multiple stages: initial voiceprint capture and storage, followed by comparison against stored voiceprints during authentication. This segmentation allows the system to handle multiple speakers by comparing each speaker's voice characteristics against a database of known voiceprints, thereby improving identification accuracy in multi-speaker environments without overwhelming system complexity
Solution Approach 2:
The system performs preliminary actions by capturing and storing voiceprints during a registration phase before actual authentication is needed. This preliminary capture of biometric data creates a reference database that enables rapid and accurate identification during subsequent authentication events, even when multiple speakers are present
2Reliability
If social media data is integrated into the authentication process, then the reliability of identification is improved, but the quantity of data to be processed increases
Solution Approach 1:
The patent introduces an intermediary processing layer that selectively integrates social media data with biometric information. This intermediary layer filters and correlates social media profiles, location data, and communication patterns with voiceprint authentication results, thereby enhancing identification reliability while managing data processing volume through intelligent filtering and correlation rather than processing all raw data
3Measurement precision
If Bluetooth 4.0 and WiFi triangulation are used for localization, then the precision of location identification is improved, but the use of energy increases
Solution Approach 1:
The system implements periodic action by performing triangulation calculations only at specific intervals or when authentication events occur, rather than continuously. This approach maintains location precision when needed while significantly reducing energy consumption by keeping Bluetooth and WiFi localization functions in a low-power state during non-authentication periods
Data Source
AI summary
A method and system for persona authentication includes obtaining from a server a presence list of devices at a location, refining the presence list according to a user profile of the devices thereby forming a dynamic presence list, capturing at least one biometric input from at least one of the devices, authenticating a persona of an individual at the location according to the biometric input and the user profiles in the dynamic presence list, and presenting at least one descriptor of the persona of the individual. In one embodiment, voice authentication uses a centralized voice id database service in conjunction with a Bluetooth 4.0 UUID service to obtain multi-modal biometric user data.