Method and system for monitoring intoxication

US2020237301A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2020237301-A1
Application numberUS-202016846110-A
CountryUS
Kind codeA1
Filing dateApr 10, 2020
Priority dateJan 31, 2013
Publication dateJul 30, 2020
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

We claim: 1 . A system for monitoring intoxication of a user, the system comprising: a housing positioned adjacent to the user during operation of the system, wherein the housing receives a sample from the user; an electronics system coupled to a wrist-borne device, wherein the electronics system comprises a sensor and is at least partially disposed within the housing, and wherein the electronics system determines a signal based on the sample; a data link coupled to the electronics system and to a processing system, wherein a first portion of the processing system is arranged at the housing and a second portion of the processing system is arranged at a mobile computing system arranged at the wrist-borne device, and wherein the processing system: receives the signal from the electronics system through the data link; and determines a value of an intoxication metric, derived from the signal. 2 . The system of claim 1 , wherein the wrist-borne device comprises a vibration motor electrically connected to the electronics system, wherein a second notification comprising a haptic output is provided at the vibration motor. 3 . The system of claim 1 , where the sample is a breath sample. 4 . The system of claim 1 , wherein the sensor is a fuel cell sensor. 5 . The system of claim 1 , wherein the processing system further generates a notification, wherein the notification is provided at a display of the mobile computing system. 6 . The system of claim 5 , wherein the notification comprises at least one of a predicted count of total drinks consumed by the user and a predicted peak intoxication metric of the user. 7 . A system for monitoring intoxication of a user, the system comprising: a housing positioned adjacent to the user during operation of the system, wherein the housing receives a sample from the user; an electronics system coupled to a wrist-borne device, wherein the electronics system comprises a sensor and is at least partially disposed within the housing, and wherein the electronics system determines a signal based on the sample; a data link coupled to the electronics system and to a processing system, wherein the processing system: receives the signal from the electronics system through the data link; and determines a value of an intoxication metric, derived from the signal. 8 . The system of claim 7 , wherein the processing system further generates a notification based on the intoxication metric. 9 . The system of claim 8 , wherein the notification comprises at least one of a predicted count of total drinks consumed by the user and a predicted peak intoxication metric of the user. 10 . The system of claim 8 , further comprising a client application executing on a mobile user device, wherein the notification is provided at the client application. 11 . The system of claim 10 , wherein the mobile user device is coupled to the wrist-borne device. 12 . The system of claim 11 , wherein the client application is further executing on a second mobile user device, wherein the second mobile user device is in communication with the electronics system and arranged offboard the wrist-borne device. 13 . The system of claim 7 , wherein the wrist-borne device comprises a fastener coupled to a digital watch face. 14 . The system of claim 13 , wherein at least a portion of the processing system is arranged within a housing of the digital watch face. 15 . The system of claim 7 , wherein at least a portion of the processing system is arranged at the housing. 16 . The system of claim 15 , wherein a remaining portion of the processing system is arranged at computing system arranged onboard the wrist-borne device. 17 . The system of claim 7 , wherein the processing system is arranged onboard the wrist-borne device. 18 . The system of claim 7 , wherein the sample is a breath sample. 19 . The system of claim 7 , wherein the wrist-borne device comprises a vibration motor electrically connected to the electronics system, wherein a second notification comprising a haptic output is provided at the vibration motor. 20 . The system of claim 7 , wherein the sensor is a fuel cell sensor.

Assignees

Inventors

Classifications

  • Subject matter not provided for in other main groups of this subclass · CPC title

  • Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

  • Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818) · CPC title

  • Determining activity level · CPC title

  • for remote operation · CPC title

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What does patent US2020237301A1 cover?
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 chara…
Who is the assignee on this patent?
Khn Solutions Inc
What technology area does this patent fall under?
Primary CPC classification A61B5/4845. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Jul 30 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).