Biometric Coercion Detection for Fund Transfer Safety Measures
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Solution Overview
Problem
Existing technologies fail to effectively detect when a user is being coerced into transferring funds, particularly in anonymous financial transactions, allowing bad actors to exploit the anonymity for illegal activities.
Innovation Solution
A system utilizing biometric sensors to monitor a user's biological data for signs of stress and detect trigger events associated with potential fund transfers, initiating precautionary safety measures when the user's biometric data indicates a coerced state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric sensors are used to detect stress and prevent coerced transfers, then user security is improved, but device complexity increases
Solution Approach 1:
The system divides the detection task into multiple independent biometric sensor modules (heart rate monitor, skin conductance sensor, temperature sensor, motion detector) that each measure specific physiological parameters. This segmentation allows the complex detection function to be distributed across simpler, specialized components, making the overall system more manageable and reliable.
Solution Approach 2:
The biometric sensor system is designed to perform multiple functions: detecting stress levels, verifying user identity, monitoring health status, and triggering safety protocols. By making the sensor system multi-functional, the patent reduces the need for separate systems for each function, thereby managing complexity while improving reliability through comprehensive monitoring.
2Measurement precision
If multiple biometric parameters are monitored simultaneously, then detection precision is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic sampling of biometric parameters rather than continuous monitoring. Sensors take measurements at predetermined time intervals (e.g., every 5 seconds or upon triggering events), which maintains detection precision for identifying stress states while dramatically reducing overall energy consumption compared to continuous monitoring.
Solution Approach 2:
The monitoring frequency and intensity of biometric parameter collection are dynamically adjusted based on detected conditions. During normal states, monitoring occurs at lower intensity to conserve energy. When trigger events are detected or stress indicators rise, the system increases monitoring frequency and activates additional sensors, optimizing the balance between precision and energy usage.
Data Source
AI summary
A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method providing biometric detection of coercion of a user. The system may detect a trigger event associated with a potential transfer of funds and may receive user biometric data. The system may determine, based on stored user biometric data and the detected user biometric data, a confidence level that the stored user biometric data is indicative of biological information representative of a user being in a stressed state. The system may initiate one or more precautionary safety measures.