US 12,441,332 B2
Smart ring system for monitoring UVB exposure levels and using machine learning technique to predict high risk driving behavior
Kenneth Jason Sanchez, San Francisco, CA (US)
Assigned to QUANATA, LLC, San Francisco, CA (US)
Filed by QUANATA, LLC, San Francisco, CA (US)
Filed on Apr. 15, 2024, as Appl. No. 18/635,628.
Application 18/635,628 is a continuation of application No. 17/930,948, filed on Sep. 9, 2022, granted, now 11,958,488.
Application 17/930,948 is a continuation of application No. 16/913,459, filed on Jun. 26, 2020, granted, now 11,479,258, issued on Oct. 25, 2022.
Claims priority of provisional application 62/877,391, filed on Jul. 23, 2019.
Prior Publication US 2024/0262368 A1, Aug. 8, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. B60W 40/08 (2012.01); A44C 9/00 (2006.01); B60W 50/00 (2006.01); B60W 50/14 (2020.01); G01S 19/42 (2010.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); H02J 7/00 (2006.01); H02J 7/02 (2016.01)
CPC B60W 40/08 (2013.01) [A44C 9/0053 (2013.01); B60W 50/0097 (2013.01); B60W 50/14 (2013.01); G01S 19/42 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); H02J 7/00032 (2020.01); H02J 7/0042 (2013.01); H02J 7/0047 (2013.01); H02J 7/02 (2013.01); B60W 2040/0836 (2013.01); B60W 2040/0845 (2013.01); B60W 2040/0872 (2013.01); B60W 2540/221 (2020.02); B60W 2540/24 (2013.01); B60W 2540/26 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for predicting risk exposure, the method comprising:
receiving a particular set of data acquired via a sensor;
analyzing, via a machine learning (ML) model, the particular set of data, wherein the analyzing comprises:
determining that the particular set of data represents a particular light exposure pattern corresponding to a light exposure pattern correlated with a risk pattern, wherein:
the ML model is trained with a first set of data and a second set of data to identify a correlation between the light exposure pattern and the risk pattern;
the first set of data is indicative of the light exposure pattern acquired via a light exposure monitoring device; and
the second set of data is indicative of the risk pattern acquired via a monitoring device;
predicting a risk exposure for a user based on the analyzing the particular set of data; and
providing a notice indicating the risk exposure.