Edgewell Personal Care Brands, LLC

James Chasen

Alan Blatter

Christopher Fernald

Avery Griffin

Gregory Sweeney

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.

Machine learning for a personal care device

A razor cartridge has a housing with a blade mounting region between a guard and a cap. A first, second and third razor blade are sequentially mounted in the blade mounting region. An over-guard is secured over the blades. The cutting edges of the blades have an as-defined increased sharpness. The blades are mounted at a reduced angle between each blade portion bearing the cutting edge and a reference plane tangential to the cutting edges of the first and third blade. Individual longitudinal members of the over-guard that lie over each blade and have a progressively decreasing height above the reference plane in a front to back direction of the razor cartridge. A further longitudinal member is forward of the first blade and has a height above the reference plane.

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West Haven, CT, United States of America

James Chasen