US 11,958,488 B2 · Smart ring system for monitoring UVB exposure levels and using machine learning technique to predict high risk driving behavior

Abstract

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed UVB exposure patterns, where the driver's UVB exposure levels may serve as a proxy for vitamin D levels in that driver's body. A smart ring, wearable on a user's finger, continuously monitors user's exposure to UVB light. This UVB exposure data, representing UVB exposure patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed UVB exposure patterns. The user can be warned of this risk to prevent them from driving or to encourage them to get more sunlight exposure before driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while exposed to high risk due to deteriorated psychological or physiological conditions stemming from insufficient UVB exposure.

Claims20

Dependent claims

A method for predicting driving risk exposure based at least in part upon observed light exposure patterns, the method comprising:

receiving one or more sets of first data indicative of one or more light exposure patterns acquired via one or more light exposure monitoring devices;
receiving one or more sets of second data indicative of one or more driving patterns acquired via one or more driving monitor devices disposed on or within a vehicle;
utilizing the one or more sets of first data and the one or more sets of second data as training data for a machine learning (ML) model to train the ML model to identify one or more relationships between the one or more light exposure patterns and the one or more driving patterns, wherein the one or more relationships include a relationship representing a correlation between a given light exposure pattern and a high-risk driving pattern;
receiving a particular set of data acquired via a particular smart ring associated with a user;
analyzing, via the ML model, the particular set of data collected by the particular smart ring associated with the user, wherein the analyzing includes:
determining that the particular set of data represents a particular light exposure pattern corresponding to the given light exposure pattern correlated with the high-risk driving pattern;
and
predicting, based at least in part upon the ML model, a level of risk exposure for the user during driving;
and
generating a notification to alert the user of the level of risk exposure.

7 more elements

A non-transitory computer-readable medium storing instructions for implementing a machine learning model to predict driving risk exposure based at least in part upon acquired light exposure patterns, wherein the instructions, when executed by one or more processors, cause the one or more processors to:

receive one or more sets of first data indicative of one or more light exposure patterns;
receive one or more sets of second data indicative of one or more driving patterns;
utilize the one or more sets of first data and the one or more sets of second data as training data for a machine learning (ML) model to train the ML model to discover one or more relationships between the one or more light exposure patterns and the one or more driving patterns, wherein the one or more relationships include a relationship representing a correlation between a given light exposure pattern and a high-risk driving pattern;
analyze, via the ML model, a particular set of data collected by a smart ring by:
determining that the particular set of data represents a particular light exposure pattern corresponding to the given light exposure pattern correlated with the high-risk driving pattern;
and
predicting, based at least in part upon the ML model, a level of risk exposure for the user during driving;
and
generate a notification to alert the user of the level of risk exposure.

6 more elements

Dependencies are inferred from the claim text.

Smart ring system for monitoring UVB exposure levels and using machine learning technique to predict high risk driving behavior

Life of this patent

Smart ring system for monitoring UVB exposure levels and using machine learning technique to predict high risk driving behavior

Life of this patent

Abstract

Claims20