Headphone Movement Biometric User Identification
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Solution Overview
Problem
Conventional systems lack effective user identification mechanisms for determining whether a user wearing headphones is authorized to interact with personal features of a corresponding device, such as receiving messages.
Innovation Solution
The system detects movement information from associated devices like headphones and smartwatches, calculates a similarity score, and identifies the user as authorized if the score exceeds a threshold, allowing appropriate outputs to be provided to the devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional systems allow any user to wear headphones and access device features, then ease of operation is improved, but security and authorization control deteriorate
Solution Approach 1:
The system automatically performs user identification by detecting movement information from the headphones and comparing it with stored biometric data, eliminating the need for manual authentication while ensuring secure access control
Solution Approach 2:
The patent replaces traditional mechanical authentication methods (such as physical keys or manual verification) with a biometric identification system that uses movement patterns detected by accelerometers in the headphones to determine user authorization
2Reliability
If user identification using movement information is implemented, then authorization control is improved, but device complexity increases
Solution Approach 1:
The system uses a single existing component (the accelerometer in the headphones) for multiple purposes: both for detecting user movement patterns for identification and for the headphones' primary audio function, thereby avoiding additional hardware complexity
Solution Approach 2:
The system creates a digital model or profile of the user's movement patterns and stores it for comparison, allowing the identification process to rely on data processing rather than additional physical authentication mechanisms
Data Source
AI summary
Systems and processes for user identification using headphones associated with a first device are provided. For example, first movement information corresponding to movement of a second electronic device is detected. Second movement information corresponding to movement of a third electronic device is detected. A similarity score is determined based on the first movement information and the second movement information. In accordance with a determination that the similarity score is above a threshold similarity score, a user is identified as an authorized user of the first electronic device and the second electronic device. Based on the identification, an output is provided to the second electronic device.