Tooth brushing monitoring system is disclosed that includes a toothbrush with sensors and a base station. The sensors record data regarding the quality, quantity and location of brushing and the system can analyze the data to provide feedback on the quality of brushing. This feedback provides motivation for users to increase their brushing habits, leading to a decrease in plaque, tooth decay and gingivitis.

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.

A hair brush assembly has a disk-shaped brush part having bristles and a disk shaped holding part having an interior cavity. The interior cavity sized to hold at least a part of the bristles. The interior cavity holds at least a part of the bristles when the brush is being stored. The interior cavity storing hair balm, in a way that contacts the bristles. The holding part can attach on to brush part, by mating, or by screwing on. The brush part has perimeter edges that define an outer perimeter of and a lip portion inside the perimeter edges, the lip portion formed of a flat surface, and a brush area inside the lip portion, where the brush area includes a plurality of bristles extending from the flat surface that forms the lip portion.

A smart toothbrush-based tooth-brushing evaluation method, apparatus, terminal device and storage medium are provided. The evaluation method comprises: real-time acquiring toothbrushing data detected by a data detecting device in a smart toothbrush; analyzing the toothbrushing data and performing statistics for each brushed tooth surfaces to obtain a brushing time and a number of times of a high-amplitude brushing-with a brushing amplitude greater than a first threshold, a number of times of a strong brushing with a brushing force greater than a second threshold and of a number of times of a horizontal brushing; determining a number of overtime-brushed tooth surfaces brushed for more than a standard brushing time, a number of times of tooth surfaces brushed at a high amplitude, a number of times of strongly-brushed tooth surfaces and a number of times of horizontally-brushed tooth surfaces according to the brushing time.

A personal care system having a treatment device for applying a treatment to the skin or hair of a user is provided. The treatment device has a camera for taking an image of the skin. The system may include or be in communication with an application programming interface (API) that can process the image. The system or an associated API can recommend the use of treatment regimens or topical products according to information determined from the digital image of the skin.

Systems and methods for enhancing a user's efficiency while operating an oral hygiene device (10) is provided. In an exemplary embodiment, motion information of an oral hygiene device is received from one or more accelerometers (32) located within the oral hygiene device. The received motion information is compared to a targeted motion of the oral hygiene device. The user operating the oral hygiene device is then provided with feedback in response to determining that the received motion information is within a predefined range of the targeted motion information.

A system and method of determining and notifying a user when to replace a worn dental cleaning head (104), comprises receiving, from a sensor (106), at least one measured value; calculating, using the measured value, a burn metric of the dental cleaning head; modeling, using the burn metric, an estimated lifetime of the dental cleaning head; determining, from the lifetime model, whether the dental cleaning head is in need of replacement; and notifying the user upon determining that the dental cleaning head is in need of replacement.

The invention discloses an oral care device (100) comprising a head portion (102) having a protuberance (104) for engaging an interproximal region within an oral cavity. The oral care device (100) also comprises at least one sensor (108) for acquiring motion data for the oral care device, and a processor (110). The processor is configured to determine when the protuberance of the head portion engages an interproximal region in the oral cavity; and determine, based on motion data acquired by the at least one sensor as the protuberance moves between interproximal regions, a position of the head portion of the oral care device in the oral cavity. An oral care system and a method of determining a position of an oral care device in an oral cavity are also disclosed.

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.