Method and system for monitoring intoxication
A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.
1. A method for detecting alcohol consumption by a user, the method comprising:
collecting a biological sample from a user at a biological sample collection device;
collecting a supplementary dataset comprising a biometric signal, wherein the biometric signal is separate and distinct from the biological sample;
calculating an alcohol metric for the user, wherein the alcohol metric comprises an intoxication prediction, based on:
the biological sample;
the biometric signal, wherein the biometric signal comprises a heart rate of the user; and
a custom alcohol response curve personalized to the user; and
providing a notification to the user based on the alcohol metric.
2. The method of claim 1 , wherein the supplementary dataset further comprises a location of the user.
3. The method of claim 2 , wherein collecting the biological sample is prompted in response to processing the location.
4. The method of claim 2 , wherein the notification to the user is further determined based on the location.
5. The method of claim 4 , wherein the notification to the user is provided at an application executing on a user interface device of the user.
6. The method of claim 1 , wherein the supplementary dataset is collected at a second device, the second device separate and distinct from the biological sample collection device.
7. The method of claim 6 , wherein the supplementary dataset further comprises a location of the user, the location of the user collected from a Global Positioning System (GPS) sensor onboard the second device.
8. The method of claim 1 , wherein the biometric signal is collected at a second device, the second device separate and distinct from the biological sample collection device.
9. The method of claim 1 , wherein the biological sample is a breath sample.
10. The method of claim 1 , wherein the custom alcohol response curve personalized to the user deviates from an average alcohol response curve for an aggregated set of users.
11. A method for detecting alcohol consumption by a user, the method comprising:
collecting a biological sample from a user at a biological sample collection device;
collecting a supplementary dataset;
calculating an alcohol metric for the user, wherein the alcohol metric comprises a predicted metric, wherein the predicted metric comprises a prediction of a change in an alcohol tolerance of the user, based on:
the biological sample; and
a custom alcohol response curve personalized to the user;
adjusting the alcohol metric based on the supplementary dataset; and
providing a notification to the user based on the adjusted alcohol metric.
12. The method of claim 11 , wherein the supplementary dataset comprises a biometric signal, the biometric signal separate and distinct from the biological sample.
13. The method of claim 12 , wherein the biometric signal is a heart rate.
14. The method of claim 11 , wherein the custom alcohol response curve personalized to the user is determined based on at least one of: a personalized alcohol absorption rate and a personalized alcohol elimination rate.
15. The method of claim 11 , wherein the biological sample is a breath sample.
16. The method of claim 11 , wherein the custom alcohol response curve personalized to the user deviates from an average alcohol response curve for an aggregated set of users.
17. The method of claim 11 , wherein the supplementary dataset is collected at a second device, the second device separate and distinct from the biological sample collection device.
18. A method for detecting alcohol consumption by a user, the method comprising:
collecting a biological sample from a user at a biological sample collection device;
collecting a supplementary dataset;
calculating an alcohol metric for the user based on:
the biological sample; and
a custom alcohol response curve personalized to the user, wherein the custom alcohol response curve personalized to the user is determined based on at least one of: a personalized alcohol absorption rate or a personalized alcohol elimination rate;
adjusting the alcohol metric based on the supplementary dataset; and
providing a notification to the user based on the adjusted alcohol metric.