US 12,479,118 B2
Machine learning for a personal care device
Alan Blatter, Sandy Hook, CT (US); James Chasen, West Haven, CT (US); Gregory Sweeney, Cincinnati, OH (US); and Avery Griffin, Cincinnati, OH (US)
Assigned to Edgewell Personal Care Brands, LLC, Chesterfield, MO (US)
Appl. No. 17/906,799
Filed by Edgewell Personal Care Brands, LLC, Chesterfield, MO (US)
PCT Filed Jun. 24, 2021, PCT No. PCT/US2021/038856
§ 371(c)(1), (2) Date Sep. 20, 2022,
PCT Pub. No. WO2021/262955, PCT Pub. Date Dec. 30, 2021.
Claims priority of provisional application 63/043,451, filed on Jun. 24, 2020.
Prior Publication US 2023/0211515 A1, Jul. 6, 2023
Int. Cl. B26B 21/00 (2006.01); B26B 21/40 (2006.01)
CPC B26B 21/4087 (2013.01) [B26B 21/4056 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A system comprising:
a personal care device including a plurality of sensors, wherein the plurality of sensors include an accelerometer and a gyroscope located on an inertial measurement unit (IMU) of the personal care device; and
a processor coupled to the plurality of sensors, wherein the processor is configured to execute a machine learning model comprising an artificial neural network that has been trained to predict a use feature related to the personal care device based on data from the plurality of sensors, 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.