An oral cleaning device includes an elongated, hollow body, a cleaning head, and a neck portion extending between the hollow body and the cleaning head. The neck portion forms a fluid channel between the hollow body and the cleaning head and the cleaning head includes at least one opening in fluid communication with the fluid channel. The device further includes a plunger located within the hollow body, movable between a first position and a second position, and a solution chamber formed within the hollow body which contains a cleaning solution and is in fluid communication with the fluid channel in the neck portion. A cleaning end of the plunger is configured to move the cleaning solution in the solution chamber through the fluid channel and through the at least one opening in the cleaning head when the plunger is moved from the first position toward the second position.

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.

An apparatus for classifying the motion of a movable treatment device having at least one inertial sensor, a motion pattern classification device configured to discriminate between two or more motion classes contained in a set of motion classes of the movable treatment device, and an interface for providing inertial sensor data from the inertial sensor to the motion pattern classification device. The inertial sensor data represents a movement of the movable treatment device, wherein the motion pattern classification device comprises at least one neural network configured to receive and classify the inertial sensor data with respect to the motion classes contained, each associated with at least one class member selected based on the motion of the movable treatment device.

A method and an apparatus for performing a localization of a movable treatment device having an inertial sensor and configured to treat a target surface. A motion pattern recognition device discriminates between two or more motion patterns contained in a set of motion patterns. An interface provides at least one inertial sensor data from the inertial sensor to the motion pattern recognition device. At least one inertial sensor data represents a movement of the movable treatment device. A neural network is configured to receive the at least one inertial sensor data and to map the at least one inertial sensor data to at least one motion pattern contained in the set of motion patterns associated with one or more different zones of the target surface so that the mapping of the at least one inertial sensor data with the at least one motion pattern indicates an estimation of the location of the device with respect to at least one zone of the target surface.

An apparatus for performing a localization of a movable treatment device having at least one inertial sensor and configured to treat the target surface. The apparatus has a motion pattern classification device configured to discriminate between two or more motion classes contained in a set of motion classes, and an interface for providing, from the inertial sensor to the motion pattern classification device, inertial sensor data representing a movement of the movable treatment device. The motion pattern classification device has a neural network configured to receive and classify inertial sensor data with respect to the motion classes associated with one or more different zones relating to the target surface so that the classification of inertial sensor data indicates an estimation of the location of the movable treatment device with respect to the one or more zones of the target surface.

A toothbrush apparatus and system designed to simplify the cleaning of all surfaces of the teeth, by simplifying the brushing process to a single motion performed on the top and bottom rows of teeth, and thereby by reducing the cognitive difficulty of learning the brushing task. Simplification is accomplished by using a unique brush head that wraps around the teeth to cover the inside, top, and outer surface of the teeth at once, while a pivot mechanism with a restorative force component attaches the brush head to the brush stem, and allows the brush head to rotate about itself. These two elements combine to allow the brush head to glide around the teeth like a train on a track as the brush is moved around the mouth.

A makeup extension wand system includes a body, including a frame with left and right vertical frame segment, and a stationary axle; and extension wand assemblies, rotatably and detachably mounted to the stationary axle, each including an extension shaft, an applicator tip, and a connector portion that can be rear or front offset, such that each extension wand assembly is rotatable to a vertical folded-in orientation for storage of the extension wand assembly and to a folded-out orientation for use of the extension wand assembly.

There is provided a system (100) and method for use in assisting a user to focus on performing a personal care activity. The system (100) comprises a processing unit (102). The processing unit is configured to acquire data associated with the user during the personal care activity, process the acquired data to detect at least one characteristic indicative of a distractive event for the user in performing the personal care activity and initiate one or 5 more actions associated with the detected at least one characteristic indicative of the distractive event to assist the user in focusing on the personal care activity.

A toothbrush apparatus and system and associated method. The apparatus includes a sensing module that performs at least one of the following: detect at least one time period associated with use of the toothbrush apparatus, detect one or more movements of the toothbrush apparatus, and any combination thereof. The apparatus's one or more processors communicatively coupled to the sensing module determine one or more measurements based on at least one of: the detected time periods, the detected movements, and any combination thereof, and store the determined measurements in one or more memory locations communicatively coupled to the processors. The apparatus also includes one or more feedback modules that receive the stored measurements and encode the measurements into corresponding feedback signals. One or more data transfer modules transmit the feedback signals.

A method for controlling display of a user interface for optimizing performance in using a personal care appliance is provided including: receiving a user info or regimen; receiving a protocol or routine to use the appliance; receiving an appliance status related to a user's usage of the appliance; comparing the appliance status to a target usage of the appliance in the protocol or routine; and controlling display of an indicator of the user's performance based on the comparison.