Patent ID: 11958488
Assignee: BLUEOWL, LLC
Field: Medical technology (Instruments)
Classification: CPC B  A  G | IPC B  G

Claim 0:
1. 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.