A razor cartridge having a first blade proximal to a front of the cartridge and having one or more first coatings disposed thereon, a second blade proximal to a back of the cartridge, the second blade having one or more second coatings disposed thereon, wherein a thickness of at least one of the one or more first coatings disposed on the first blade is less than a thickness of at least one of the one or more second coatings disposed on the second blade.

Handle is provided for battery operated razors. In some implementations, the handle includes a simple, efficient mechanism for both securing a battery cover to the handle of a razor and at the same time providing a high reliability electrical contact between the battery and electronics of the razor. The mechanism includes a closing system, including a first conductive component slidably attached within the battery cover and biased toward a predetermined axial position, and a second conductive component secured to the interior wall of the grip portion. The first conductive component is configured to interact with the second conductive component and move axially within the battery cover during engagement of the battery cover with the grip portion.

A replaceable fluid dispensing cartridge for a liquid dispensing razor having a fluid interconnect member with a pivotable support member and a base member with a fluid port and an engagement surface for removably and fixedly mating to a corresponding engagement member of a handle. A cartridge housing is mounted to the pivotable support member. The cartridge housing has a guard, a cap, and at least one blade between the cap and the guard. A fluid applicator defining an opening is fixedly joined to the interconnect member.

A method of removing hair from an underarm comprising the steps of applying an antiperspirant or deodorant composition to the underarm and shaving the underarm with a razor; wherein said antiperspirant or deodorant composition comprises a component selected from the group consisting of an antiperspirant active, a deodorant active, an odor masking fragrance, and combinations thereof; and wherein the composition comprises from about 3% to about 20%, by weight of the composition, of a blend of a nonvolatile, low viscosity silicone emollient and a high molecular weight silicone polymer.

A method of removing hair from an underarm comprising the steps of applying an antiperspirant or deodorant composition to the underarm and shaving the underarm with a razor; wherein said antiperspirant or deodorant composition comprises a component selected from the group consisting of an antiperspirant active, a deodorant active, an odor masking fragrance, and combinations thereof; and wherein the composition comprises from about 3% to about 20%, by weight of the composition, of a blend of a nonvolatile, low viscosity silicone emollient and a high molecular weight silicone polymer.

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.

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 method of removing hair from an underarm comprising the steps of applying an antiperspirant or deodorant composition to the underarm and shaving the underarm with a razor; wherein said antiperspirant or deodorant composition comprises a component selected from the group consisting of an antiperspirant active, a deodorant active, an odor masking fragrance, and combinations thereof; and wherein the composition comprises from about 3% to about 20%, by weight of the composition, of a blend of a nonvolatile, low viscosity silicone emollient and a high molecular weight silicone polymer.

A method of removing hair from an underarm comprising the steps of applying an antiperspirant or deodorant composition to the underarm and shaving the underarm with a razor; wherein said antiperspirant or deodorant composition comprises a component selected from the group consisting of an antiperspirant active, a deodorant active, an odor masking fragrance, and combinations thereof; and wherein the composition comprises from about 3% to about 20%, by weight of the composition, of a blend of a nonvolatile, low viscosity silicone emollient and a high molecular weight silicone polymer.