Abstract: The present application is concerned with an oral scanner system having an oral scanner being structured and/or arranged for performing a scanning procedure of at least a portion of an oral cavity, a processor being coupled with a memory in which oral health sensor data and/or oral health data relating to at least one previous scanning procedure performed with the oral scanner and/or in which oral care activity data relating to at least one previous oral care activity procedure performed with an oral care device is stored, wherein the processor is structured and/or arranged to determine at least one scanning procedure parameter for influencing a next scanning procedure in dependance on the stored data and/or to determine at least one scanning procedure guidance in dependance on the stored data, where the scanning procedure guidance comprises at least one automatic feedback provided to the user by a feedback unit immediately before and/or during the next scanning procedure.

Abstract: The present application is concerned with an oral scanner system an oral scanner being structured and/or arranged for performing a scanning procedure of at least a portion of an oral cavity of a subject, a position detector structured and/or arranged for outputting position sensor data relating to a discrete position or location at which the oral scanner currently performs the scanning procedure, a processor structured and/or arranged to receive at least the position sensor data, to process the position sensor data to determine a scanning discrete position or location within the at least portion of the oral cavity at which the oral scanner is currently performing the scanning procedure, and to compute a scanning procedure progress value being in a range between a start progress value and an end progress value for each of at least two discrete positions or locations based at least on the determined scanning discrete position or location at which the oral scanner is currently performing the scanning procedure,

Abstract: The present application is concerned with an oral scanner system having an oral scanner comprising an oral health sensor structured for acquiring oral health sensor data from at least a portion of a dentition of a subject during a scanning procedure relating to at least one oral health condition, and a position detector structured for acquiring position sensor data during the scanning procedure, a processor structured to receive the oral health sensor data and the position sensor data, to process the position sensor data to determine a discrete position or location from at least two discrete positions or locations of the at least portion of the dentition at which the oral scanner is currently performing the scanning procedure or has been performing the scanning procedure at a given time instant, to assign the oral health sensor data to one discrete position of the at least two discrete positions to create discretely position-resolved oral health sensor data, to compare the discretely position-resolved oral he

Abstract: A smart personal grooming device or otherwise cutting device comprises a body with a handle, a head portion, a hair cutting implement, and a camera oriented toward the hair cutting implement. The camera captures images of a skin area and a hair area of a user and a processor detects, based the images, each of the skin area and the hair area. A boundary is defined between the skin area and the hair area. The processor determines a control state based on the boundary that causes the processor to implement one or more algorithms controlling an operating or feature of the smart personal grooming device or otherwise cutting device, including, for example, activating the cutting implement to cause the cutting implement to remove hair in a hair area of the user.

Abstract: A method for assembling a hair cutting appliance is presented. A body is provided with a power switch connected to a power source. A drive system within the body is in selective electrical communication with the power source. A cutting unit is electrically connected to the drive system. An optical sensor is mounted to the body to sense a pre-defined skin-hair edge. A control circuit within the body is electrically connected to the optical sensor. A switching element is electrically connected with the control unit. The switching element is switchable by the control circuit between a conducting state and a non-conducting state. The switching element is switched to the non-conducting state when a sensed condition of the optical sensor exceeds a first pre-programed threshold. The first pre-programmed threshold is stored in the control circuit. A method is provided for assembling a power transform module used with a hair cutting appliance.

Abstract: A hair cutting appliance is presented including a body with a power switch and a power source. A drive system within the body is in selective electrical communication with the power source. A cutting unit is coupled to the drive system. An optical sensor is positioned to sense a pre-defined skin-hair edge in an area in front of the cutting unit. A switching element is in electrical communication with a control circuit and switchable between a conducting state to electrically connect the drive system and the power source and a non-conducting state to electrically isolate the drive system from the power source. The switching element is switched to the non-conducting state when a first sensed condition of the optical sensor exceeds a first pre-programed threshold. A power transform module is also provided that includes the optical sensor and is configured to be mounted to the body.

Abstract: Sensor-based systems and methods of analyzing shaving usage based on time duration and shave event status. A shaving device comprises a blade. The shaving device is communicatively coupled to a sensor and one or more processor(s). Sensor data is collected from the sensor while a user is shaving, and user-specific pressure data is determined therefrom to define shaving stroke(s) based on pressure applied to the user's skin. Based on the one or more shaving strokes and timer intervals thereof, a total duration can be tracked. In addition, a shaving event can be determined based on the shaving stroke(s). An output associated with the shaving device may be generated based on the determining that each of a predetermined duration threshold value and a predetermined shave event threshold value has been met or exceeded, the output comprising an indication that the each of the thresholds has been met or exceeded.

Abstract: Sensor-based systems and methods of analyzing shaving usage. A shaving device comprises a blade. The shaving device is communicatively coupled to a sensor and one or more processor(s). Sensor data is collected from the sensor while a user is shaving, and user-specific pressure data is determined therefrom to define one or more shaving strokes based on pressure applied to the user's skin. Based on the one or more shaving strokes, a shaving event can be detected and a shave event count value can be an incremented. The shave event count can be determined to meet or exceed a predetermined threshold value. An output associated with the shaving device may be generated based on the determining that the shave event count value meets or exceeds the predetermined threshold value, the output comprising an indication that the shave event count value meets or exceeds the predetermined threshold value.

Abstract: Sensor-based systems and methods of analyzing shaving usage based on time duration. A shaving device comprises a blade. The shaving device is communicatively coupled to a sensor and one or more processor(s). Sensor data is collected from the sensor while a user is shaving, and user-specific pressure data is determined therefrom to define one or more shaving strokes based on pressure applied to the user's skin. Based on the one or more shaving strokes and timer intervals thereof, a total duration can be tracked. The total duration can be determined to meet or exceed a predetermined threshold value. An output associated with the shaving device may be generated based on the determining that the total duration meets or exceeds the predetermined threshold value, the output comprising an indication that the total duration meets or exceeds the predetermined threshold value.

Abstract: A dispenser for a volatile liquid composition includes a housing; a reservoir holding the liquid composition; a transport member for the liquid composition; and an evaporative member in fluid communication with the transport member. The evaporative member includes a wickable mesh. A method for dispensing a volatile liquid composition using a dispenser includes the step of wetting the evaporative member with the liquid composition; and evaporating the composition from the evaporative member.

Abstract: A light activated cleaning composition comprising a photosensitizer and a singlet oxygen quenching molecule.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Oral care based imaging computer-implemented systems and methods for determining perceived attractiveness of a facial image portion of at least one person depicted in a digital image. The method has the following steps: a) obtaining a digital image comprising at least one oral feature of at least one person, wherein the digital image includes a facial image portion of the at least one person, the facial image portion having both positive and negative attributes as defined by pixel data of the digital image; b) analyzing the facial image portion; c) generating an Attractiveness Score indicative of a perceived attractiveness of the facial image portion based on the analyzed facial image portion in the obtained digital image; d) further generating an image description that identifies at least one area in said facial image portion based on the Attractiveness Score; and e) presenting the image description to a use.

Abstract: Oral care based imaging computer-implemented systems and methods for analyzing attributes of a facial image portion of at least one person depicted in a digital image. An oral care digital imaging computer-implemented method for analyzing a facial image portion of a person depicted in a digital image may include analyzing the facial image portion for positive and negative attributes as defined by pixel data of the digital image and generating a probability value based on the positive and negative attributes in the facial image portion in the digital image.

Abstract: A kit that includes a personal care implement having a section at least partially made from a magnetic and/or ferromagnetic material, and a magnetic holder to which the personal care implement is magnetically attachable and detachable, the magnetic holder having a timer, the timer being activated by detaching the personal care implement from the magnetic holder.

Abstract: 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.

Abstract: Digital image stitching systems and methods are disclosed herein for generating one or more panoramic image views. A plurality of digital images depicting a target feature within an application area are captured by a camera of a scanner device. Motion data is captured, by a sensor coupled to the scanner device, as the scanner device moves relative to the target feature, where relative position data, corresponding to the plurality of digital images, is determined based on the motion data. An angle or position is generated for a first image relative to a second image of the plurality of images, and, based on image matching of the angle or the position of the second image with respect to the first image, a panoramic image view is generated depicting the target feature in a wider field of view of the application area than either the first image or the second image.

Abstract: 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.