Oral hygiene monitoring system is disclosed to track motion and orientation of an oral hygiene device. The control system may process data output from a motion sensor to determine position and orientation of an oral hygiene device with respect to a user's mouth. In some examples, the system may use machine learning techniques to identify position and orientation, brush stroke type, and other specific actions.

A toothbrush of the present invention includes: a main body including a head portion having a bristle raising surface on which bristles are provided in a standing manner; a light emission unit configured to emit light through a specific region of the bristle raising surface to a tooth surface; and a light reception unit configured to receive radiated light from the tooth surface resulting from the light through the specific region, the light emission unit and the light reception unit being provided in the main body. The toothbrush also includes a detection unit configured to collectively detect whether or not dental plaque or dental calculus is present on the tooth surface based on an output from the light reception unit. The toothbrush further includes a determination unit configured to determine that dental calculus is present on the tooth surface.

The brush head of the toothbrush has filaments that are pointed at one end and led through clearances in the bristle carrier. These filaments have a length of about 10-20 mm. The tips of the pointed filaments produce a height profile other than that of a plane and the ends of the pointed filaments that are remote from the tips are melted.

In one embodiment, an oral care system may include a toothbrush comprising a physical property, and a programmable processor configured to receive physical property data indicative of the physical property of the toothbrush. The programmable processor may be further configured to determine, based at least in part upon the received physical property data, a suggested brushing routine for a user and/or an evaluation of a brushing session of a user.

There is provided a device for monitoring usage of a toothbrush. The device comprises a body part, a core part and a base part. The body part comprises at least one through hole extending between an upper surface and a lower surface thereof. The core part receives the body part on an upper surface thereof and comprises on the upper surface at least one elevated portion connected to at least one force sensor which is connected to a micro-controller and which is connected to a Bluetooth transmitter. The base part for receives the core part on an upper surface thereof. A toothbrush inserted in the hole rests on the elevated portion, and a signal indicative of non-usage of the toothbrush is transmitted to the Bluetooth transmitter.

An oral care implement that delivers a fluid from a reservoir to an applicator by capillary action. The oral care implement may include a head and a handle, the head having tooth cleaning elements extending therefrom. There may also be a reservoir storing a fluid and an applicator on the head. Finally, a delivery member may extend from the reservoir to the applicator. The delivery member may include a capillary tube that draws the fluid from the reservoir to the applicator by capillary action.

Hands-free devices adapted for rapid brushing, cleaning and treating users' teeth are provided. In some embodiments, such a device comprises brushes for cleaning each of a user's teeth simultaneously. In some embodiments, such a device is generally U-shaped, accepting, cleaning and/or treating all of a user's teeth simultaneously. In some embodiments, a device is adapted to fit an individual user, based on 3-dimensional imaging. Example customized fluid jets within such devices are provided, introducing dentifrices and other treatments into tooth-conforming channels. In some embodiments, specialized handles are set forth, configured for hands-free use. Example methods and modes for such devices' use are also set forth. In some embodiments, compartments and cartridges with a proprietary form factor for delivering dentifrice and other treatments and for disposing of waste without mess are provided. In some embodiments, observational data are gathered, analyzed and serve as the basis for a treatment action plan.

Oral hygiene monitoring system is disclosed to track motion and orientation of an oral hygiene device. The control system may process data output from a motion sensor to determine position and orientation of an oral hygiene device with respect to a user's mouth. In some examples, the system may use machine learning techniques to identify position and orientation, brush stroke type, and other specific actions.

An oral care system that includes an oral care implement and a tracking attachment. The oral care implement may include a handle and a head. The tracking attachment is detachably coupled to the oral care implement. The tracking attachment may include a first component comprising a first housing having an inner surface that defines a first cavity and a second component comprising a second housing having an inner surface that defines a second cavity. When the tracking attachment is coupled to the oral care implement, a first portion of the handle is positioned within the first cavity and a second portion of the handle is positioned within the second cavity.

A system for classifying the usage of a handheld consumer device having a sensor and an analyzer. The sensor determines usage data at successive time instants and provides a temporally successive sequence of usage data during a usage session. The analyzer classifies the usage of the device with respect to at least one set usage classes and assembles a temporally successive sequence of input tuples of usage data relating to a predetermined time period of the usage session, each of the input tuples having at least one element representing the usage data at the respective time instant and for inputting the sequence of input tuples into at least one artificial neural network arranged to output at least one output tuple comprising a number of elements in accordance with the number of usage classes, each element of the output tuple representing a prediction value that the usage of the consumer device at the given time instant relates to a respective usage class.