Loading patent…
AssigneeEdgewell Personal Care Brands, LLC
InventorsAlan Blatter, James Chasen, Gregory Sweeney, Avery Griffin
Estimating the term…
Systems, devices, and methods for applying machine learning to provide feedback related to a personal care device are described. Embodiments of the systems, devices, and methods may identify data from a device such as a razor comprising a plurality of sensors on a razor, predict one or more features such as shaving features based on the data using a machine learning model trained using data from the plurality of sensors, and provide shaving feedback based on the one or more features such as shaving features. Embodiments of the systems, devices, and methods may train a machine learning model, execute a trained machine learning model, capture and/or process data for the machine learning model, provide feedback based on the output of the trained machine learning model, or combinations thereof.
A system comprising:
At least one computer readable storage medium comprising a set of instructions, which when executed by a processor, cause the processor to execute a machine learning model comprising an artificial neural network that has been trained to predict a use feature related to a personal care device based on data from a plurality of sensors including an accelerometer and a gyroscope located on an inertial measurement unit (IMU) of the personal care device, wherein the use feature comprises force applied by the personal care device, distance travelled by the personal care device, or combinations thereof, wherein, when the machine learning model comprising the artificial neural network is executed by the processor, force applied by the personal care device is predicted based only on accelerometer data and gyroscope data from the IMU input to a machine learning model that has been trained to predict and output a measurement value of the force, distance travelled by the personal care device is predicted based only on accelerometer data and gyroscope data from the IMU input to a machine learning model that has been trained to predict and output a measurement value of the distance travelled, or combinations thereof.
A method comprising executing a machine learning model comprising an artificial neural network that has been trained to predict a use feature related to a personal care device based on data from a plurality of sensors including an accelerometer and a gyroscope located on an inertial measurement unit (IMU) of the personal care device, wherein the use feature comprises force applied by the personal care device, distance travelled by the personal care device, or combinations thereof, wherein, when the machine learning model comprising the artificial neural network is executed by the processor, force applied by the personal care device is predicted based only on accelerometer data and gyroscope data from the IMU input to a machine learning model that has been trained to predict and output a measurement value of the force, distance travelled by the personal care device is predicted based only on accelerometer data and gyroscope data from the IMU input to a machine learning model that has been trained to predict and output a measurement value of the distance travelled, or combinations thereof.
Dependencies are inferred from the claim text.