US 12,232,538 B2
Artificial intelligence in an aerosol delivery device
Rajesh Sur, Winston-Salem, NC (US)
Assigned to RAI STRATEGIC HOLDINGS, INC., Winston-Salem, NC (US)
Filed by RAI STRATEGIC HOLDINGS, INC., Winston-Salem, NC (US)
Filed on May 19, 2023, as Appl. No. 18/320,759.
Application 18/320,759 is a continuation of application No. 16/394,737, filed on Apr. 25, 2019, granted, now 11,690,405.
Prior Publication US 2023/0292845 A1, Sep. 21, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. A24F 47/00 (2020.01); A24F 40/50 (2020.01); G01C 22/00 (2006.01); G06F 1/3206 (2019.01); G06F 18/214 (2023.01); G06F 21/32 (2013.01); G06K 9/00 (2022.01); G06K 9/62 (2022.01); G06N 5/00 (2023.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06V 40/16 (2022.01); G06V 40/20 (2022.01); H04L 9/06 (2006.01); H04W 4/02 (2018.01); H04W 4/80 (2018.01); H04L 9/00 (2022.01)
CPC A24F 40/50 (2020.01) [G01C 22/006 (2013.01); G06F 1/3206 (2013.01); G06F 18/214 (2023.01); G06N 5/00 (2013.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06V 40/16 (2022.01); G06V 40/20 (2022.01); H04W 4/027 (2013.01); H04W 4/80 (2018.02); H04L 9/50 (2022.05)] 35 Claims
OG exemplary drawing
 
1. An aerosol delivery device comprising:
a housing structured to retain an aerosol precursor composition;
at least one sensor configured to produce measurements of properties during use of the aerosol delivery device;
a power source;
an aerosol production component configured to produce an aerosol from the aerosol precursor composition; and
a control component including processing circuitry configured to:
switchably connect the power source to a load including the aerosol production component and thereby power the aerosol production component,
record data for a plurality of uses of the aerosol delivery device, for each use of which the data includes the measurements of the properties,
build a machine learning model to predict a target variable, the machine learning model built using a machine learning algorithm, at least one feature selected from the properties, and a training set produced from the measurements of the properties,
deploy the machine learning model to predict the target variable, and control at least one functional element of the aerosol delivery device based thereon, and
verify that an attempted user is authorized to use the aerosol delivery device, wherein the processing circuitry being configured to control the at least one functional element includes being configured to alter a locked state of the aerosol delivery device based on the verifying of the attempted user;
wherein the plurality of uses of the aerosol delivery device includes respective user puffs each of which causes a flow of air through at least a portion of the housing, and is for user inhalation of the aerosol, and
wherein the processing circuitry being configured to record the data for the plurality of uses includes being configured to record the measurements with times and durations of the respective user puffs.