ARTIFICIAL INTELLIGENCE IN AN AEROSOL DELIVERY DEVICE

Abstract: an aerosol delivery device is provided that includes sensor(s) to produce measurements of properties during use of the device, and processing circuitry to record data for a plurality of uses of the device, for each use of which the data includes the measurements of the properties. the processing circuitry is configured to build a machine learning model to predict a target variable, using a machine learning algorithm, at least one feature selected from the properties, and a training set produced from the measurements of the properties. the processing circuitry is configured to then deploy the machine learning model to predict the target variable, and control at least one functional element of the device based on the target variable, the target variable being a user profile depending on at least one of the properties, and times and durations of respective user puffs on the device.

Inventor(s): Rajesh Sur

CPC Classification: A24F40/50 (SMOKERS' REQUISITES; MATCH BOXES; SIMULATED SMOKING DEVICES (inhaling appliances for medical purposes, shaped like cigars, cigarettes or pipes ))

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