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 dental treatment appliance includes a treatment system which transmits a pulsed signal towards the oral cavity and receives a signal returned from the oral cavity. A controller actuates the treatment of the oral cavity of the user depending on the received signal.

A brush head assembly (100) comprising a sandwich assembly (200) comprising a flexible matrix (30) positioned between two layers of stiff or stiffer material (220), a plurality of bristle tufts (21), each of which comprises a plurality of bristle strands, each bristle tuft having a proximal end (23) and a free end (25), a bristle tuft retention element (250) for each bristle tuft (21), the bristle tuft retention elements (250) connecting the proximal end of the bristle tufts (21) to the sandwich assembly.

A personal hygiene system includes a personal hygiene device having a receiver unit, a control unit, and a functional unit; and a separate control device having a transmitter unit. The control unit drives the functional unit in at least one of a first functional mode and a second functional mode different from the first functional mode. The control unit inhibits provision of the second functional mode while the control unit is in a default state. The transmitter unit sends at least a first signal to the receiver unit of the personal hygiene device when the separate control device is switched from a default control mode to a first control mode. The control unit can be switched from the default state into a first state when the first signal is received by the receiver unit, in which first state the control unit permits provision of the second functional mode at least during a first allowance period.

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.

The present disclosure provides a different-axis bidirectional brush head structure and an electric toothbrush, wherein head structure includes a brush head body, a transmission shaft, a first bristle component and a second bristle component, wherein the transmission shaft is located in the brush head body and rotates in the same direction or reciprocates in different directions with its own axis as the axis; the transmission shaft is in transmission connection with the first bristle component for driving the first bristle component to rotate clockwise or counterclockwise; the first bristle component is in transmission connection with the second bristle component, rotation directions of the first bristle component and the second bristle component are opposite, a distance between the first bristle component and the second bristle component gradually increases along the direction away from the transmission shaft, and the first bristle component and the second bristle component are in a V-shaped structure.

A personal care device having a personal care head, a force sensor structured and/or arranged for acquiring force sensor data, a processor structured and/or arranged for determining the force value from the force sensor data, a drive unit structured and/or arranged for driving the personal care head into a motion that is characterized by at least one motion parameter being one from the list comprising a speed, an amplitude and a frequency, the motion preferably being an oscillatory rotational motion, and a control unit structured and/or arranged for controlling the motion parameter of the personal care head in dependence on the determined force value.

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.