Smart ring system for measuring driver impairment levels and using machine learning techniques to predict high risk driving behavior
AssigneeQuanata, LLC
InventorKenneth Jason Sanchez
Life of this patent
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Abstract
A method for predicting risk exposure can include sensing, by a sensor of a ring worn by a user, a set of data. The sensor can be integrated with a microfluidic device. The method for predicting risk exposure further can include determining, by a trained machine learning (ML) model, a risk score based at least on the set of data. The method for predicting risk exposure also can include determining, by a trained ML model, a remediating action to reduce the risk score. The method for predicting risk exposure also can include, in response to determining the risk score, generating a notification to alert the user of the risk score and the remediating action. Other embodiments are disclosed.
Claims20
A method for predicting a risk exposure, comprising:
- sensing, by a sensor of a ring worn by a user, a set of data, wherein the sensor is integrated with a microfluidic device;
- and
- determining, by a trained machine learning (ML) model:
- a risk score based at least on the set of data;
- and
- a remediating action to reduce the risk score;
- and
- in response to determining the risk score:
- generating a notification to alert the user of the risk score and the remediating action.
A system for predicting a risk exposure, comprising:
- a ring configured to be worn by a user, the ring comprising a sensor integrated with a microfluidic device and configured to sense a set of data;
- one or more processors;
- and
- one or more non-transitory computer readable media comprising computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations comprising:
- receiving the set of data sensed by the sensor of the ring;
- determining, by a trained machine learning (ML) model:
- a risk score based at least on the set of data;
- and
- a remediating action to reduce the risk score;
- and
- in response to determining the risk score:
- generating a notification to alert the user of the risk score and the remediating action.
One or more non-transitory computer-readable media comprising computing instructions that, when executed on one or more processors, cause the one or more processors to perform operations comprising:
- receiving a set of data sensed by a sensor of a ring worn by a user, wherein the sensor is integrated with a microfluidic device;
- and
- determining, by a trained machine learning (ML) model:
- a risk score based at least on the set of data;
- and
- a remediating action to reduce the risk score;
- and
- in response to determining the risk score:
- generating a notification to alert the user of the risk score and the remediating action.
Dependencies are inferred from the claim text.