Method and system for remotely monitoring intoxication
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Solution Overview
Problem
Current blood alcohol monitoring systems lack effective remote monitoring capabilities, particularly in preventing fraudulent sample submissions and ensuring accurate, remote assessment of intoxication levels.
Innovation Solution
A method and system that utilizes a mobile computing device and a breath sample acquisition device to generate and verify unique signatures, combining breath sample signals with authentication signals to validate user identity and prevent fraudulent submissions, allowing remote monitoring of intoxication levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If remote monitoring of alcohol consumption is implemented, then monitoring capability is improved, but susceptibility to fraud increases
Solution Approach 1:
The system performs preliminary actions by capturing authentication data (photos, videos, biometric scans) and contextual information before the breath sample is provided. This pre-capture of verification data ensures that the user's identity and state are confirmed prior to sampling, preventing fraudulent sample substitution while enabling remote monitoring.
Solution Approach 2:
The system implements feedback mechanisms by immediately analyzing the provided breath sample and comparing it against the pre-captured authentication data. The system provides real-time feedback on whether the sample matches the authenticated user, and notifies monitoring entities of any discrepancies or fraudulent attempts, thereby maintaining reliability in remote monitoring.
2Reliability
If multiple verification methods are used to prevent fraud, then reliability is improved, but device complexity increases
Solution Approach 1:
The system employs multiple verification methods including photo capture, video recording, biometric scanning, and contextual data collection as integrated components of a single remote monitoring platform. These diverse verification techniques work together within one system architecture, allowing the device to perform multiple functions (identification, authentication, sampling, analysis) without proportionally increasing complexity.
Data Source
AI summary
A method and system for remotely monitoring intoxication of a user, comprising: prompting the user to provide a breath sample at a time point; at a breath sample acquisition device, generating a breath sample signal upon reception of the breath sample from the user, and broadcasting a unique signature proximal in time to the time point; using a sensor of a mobile computing device, generating an authentication signal derived from detection of the unique signature; at a processing system in communication with the mobile computing device and the sample acquisition device, receiving the breath sample signal and the authentication signal; generating a verification assessment that validates provision of the breath sample by the user; determining a value of an intoxication metric for the user based upon the breath sample signal; and transforming the verification assessment and the value of the intoxication metric into an analysis of intoxication of the user.