Abstract: A system and method for operating a personal grooming/household appliance, including: providing a personal grooming/household appliance including at least one physical sensor taken from a group consisting of: an orientation sensor, an acceleration sensor, an inertial sensor, a global positioning sensor, a pressure sensor, and a load sensor, audio sensor, humidity sensor, and a temperature sensor; providing a camera associated with the personal grooming/household appliance; classifying data received from the physical sensor and from the camera using at least one trained machine learning classifier to generate an augmented classification; and providing user feedback information based upon the augmented classification or modifying operation of the grooming/household appliance based upon the augmented classification.

Abstract: Included are embodiments for remotely determining a battery characteristic. Some embodiments include searching for a first wireless signal that identifies the energy storage device and, in response to receiving the first wireless signal, determining a current charge level of the energy storage device. Some embodiments include receiving a second wireless signal from the energy storage device, determining from the second wireless signal, whether the current charge level of the energy storage device reaches a predetermined threshold, and in response to determining that the current charge level of the energy storage device reaches the predetermined threshold, facilitating replacement of the battery.

Abstract: A system and method for treating a surface of a user’s body part, including: obtaining target surface condition information from a user’s body part surface using one or more condition sensors taken from a group consisting of: an optical sensor and a bio-sensor; classifying the target surface condition information using a machine learning classifier to determine an initial target surface condition classification; obtaining treatment progress information using a combination of motion sensor data and surface condition information from the one or more condition sensors; and classifying the treatment progress information using a machine learning classifier to determine a progress classification for treating the initial target surface condition classification.

Abstract: A skin care computing device that includes a user interface, a camera, a speaker, a communication interface, and a personal care assistant application. The personal care assistant application can identify personal care products being used by a user and product use event data describing the use of a personal care product by the user, such as the date and time of the use, the duration and frequency of the use, and the manner in which the personal care product is being used. Then the personal care assistant application generates user feedback information for the personal care product based on the product use event data, previous instances of product use event data, and/or user profile data for the user.

Abstract: A system and method for operating a personal grooming/household appliance, including: providing a personal grooming/household appliance including at least one physical sensor taken from a group consisting of: an orientation sensor, an acceleration sensor, an inertial sensor, a global positioning sensor, a pressure sensor, and a load sensor, audio sensor, humidity sensor, and a temperature sensor; providing a camera associated with the personal grooming/household appliance; classifying data received from the physical sensor and from the camera using at least one trained machine learning classifier to generate an augmented classification; and providing user feedback information based upon the augmented classification or modifying operation of the grooming/household appliance based upon the augmented classification.

Abstract: A method for operating a dental appliance by providing a dental appliance including at least one motion sensor that provides motion data, the motion sensor is one of an orientation sensor, an acceleration sensor, and an inertial sensor. Further, providing at least one camera associated with the dental appliance that provides image data, and segmenting the image data received from the camera to segment a surface condition using a first machine learning neural network to generate a surface condition segmentation. Then classifying the motion data received from the motion sensor and the image data received from the camera to classify motion and position of the dental appliance with respect to a surface of a user's anatomy, using a second machine learning neural network classifier to generate a surface position comprising at least one of a relational motion classification or a relational position classification.

Abstract: A system and method for operating a household cleaning appliance, including: providing a household cleaning appliance including, a powered and electronically controlled cleaning implement, and at least one physical sensor taken from a group consisting of: an orientation sensor, an acceleration sensor, an inertial sensor, a global positioning sensor, a pressure sensor, a load sensor, audio sensor, humidity sensor, and a temperature sensor; providing a camera associated with the household cleaning appliance; deriving an augmented classification using one or more classifiers classifying the physical sensor data and the image data; and modifying operation of the cleaning implement based upon the augmented classification.

Abstract: A system and method for operating a personal grooming/household appliance, including: providing a personal grooming/household appliance including at least one physical sensor taken from a group consisting of: an orientation sensor, an acceleration sensor, an inertial sensor, a global positioning sensor, a pressure sensor, and a load sensor, audio sensor, humidity sensor, and a temperature sensor; providing a camera associated with the personal grooming/household appliance; classifying data received from the physical sensor and from the camera using at least one trained machine learning classifier to generate an augmented classification; and providing user feedback information based upon the augmented classification or modifying operation of the grooming/household appliance based upon the augmented classification.

Abstract: The present disclosure provides an absorbent article for personal hygiene. More particularly, in one embodiment, the absorbent article absorbent article includes at least one property changing indicator. A detector device is also provided that includes at least one sensor. The sensor is adapted to detect the property change of the property change indicator in the absorbent article. In one particular embodiment, for example, the property changing indicator may include an optical property indicator such as a color change indicator and the sensor may include an optical sensor such as a color sensor.

Abstract: Included are embodiments for remotely determining a battery characteristic. Some embodiments include searching for a first wireless signal that identifies the energy storage device and, in response to receiving the first wireless signal, determining a current charge level of the energy storage device. Some embodiments include receiving a second wireless signal from the energy storage device, determining from the second wireless signal, whether the current charge level of the energy storage device reaches a predetermined threshold, and in response to determining that the current charge level of the energy storage device reaches the predetermined threshold, facilitating replacement of the battery.

Abstract: Included are embodiments for remotely determining a battery characteristic. Some embodiments include searching for a first wireless signal that identifies the energy storage device and, in response to receiving the first wireless signal, determining a current charge level of the energy storage device. Some embodiments include receiving a second wireless signal from the energy storage device, determining from the second wireless signal, whether the current charge level of the energy storage device reaches a predetermined threshold, and in response to determining that the current charge level of the energy storage device reaches the predetermined threshold, facilitating replacement of the battery.

Abstract: Method for treating a surface includes: automatically evaluating at least one digital image which includes the target surface; determining the nature of the target surface according to the evaluation of the at least one digital image; determining at least one available treatment implement according to the evaluation of the at least one image; determining the nature of the surface treatment according to the evaluation of the at least one image; automatically determining a use of the determined treatment implement in the determined treatment of the determined surface; and providing information analogous to the determined use of the treatment implement.

Abstract: The invention provides an absorbent article comprising an indication means for indicating the presence of bodily exudates, the indication means comprising a color-changing indication means, wherein the absorbent article and the indication means form one integral unit, the article further comprising a indication device, which comprises a housing and a connection means, such that the indication device can be attached to the absorbent article and be detached from the absorbent article, wherein the indication device comprises a color sensor.

Abstract: Included are embodiments for remotely determining a battery characteristic. Some embodiments include searching for a first wireless signal that identifies the energy storage device and, in response to receiving the first wireless signal, determining a current charge level of the energy storage device. Some embodiments include receiving a second wireless signal from the energy storage device, determining from the second wireless signal, whether the current charge level of the energy storage device reaches a predetermined threshold, and in response to determining that the current charge level of the energy storage device reaches the predetermined threshold, facilitating replacement of the battery.

Abstract: A skin care computing device that includes a user interface, a camera, a speaker, a communication interface, and a personal care assistant application. The personal care assistant application can identify personal care products being used by a user and product use event data describing the use of a personal care product by the user, such as the date and time of the use, the duration and frequency of the use, and the manner in which the personal care product is being used. Then the personal care assistant application generates user feedback information for the personal care product based on the product use event data, previous instances of product use event data, and/or user profile data for the user.

Abstract: A personal care computing device may include a user interface, a camera, a speaker, a communication interface, and a personal care assistant application. The personal care assistant application may identify personal care products being used by a user from manual input (e.g., via user controls on the user interface), or automatically (e.g., via the camera or the communication interface). The personal care assistant application may identify product use event data describing the use of a personal care product by the user, such as the date and time of the use, the duration and frequency of the use, the manner in which the personal care product is being used, etc. Then the personal care assistant application may generate user feedback information for the personal care product based on the product use event data, previous instances of product use event data, and/or user profile data for the user.

Abstract: Included are embodiments for remotely determining a battery characteristic. Some embodiments include searching for a first wireless signal that identifies the energy storage device and, in response to receiving the first wireless signal, determining a current charge level of the energy storage device. Some embodiments include receiving a second wireless signal from the energy storage device, determining from the second wireless signal, whether the current charge level of the energy storage device reaches a predetermined threshold, and in response to determining that the current charge level of the energy storage device reaches the predetermined threshold, facilitating replacement of the battery.

Abstract: Method for treating a surface includes: automatically evaluating at least one digital image which includes the target surface; determining the nature of the target surface according to the evaluation of the at least one digital image; determining at least one available treatment implement according to the evaluation of the at least one image; determining the nature of the surface treatment according to the evaluation of the at least one image; automatically determining a use of the determined treatment implement in the determined treatment of the determined surface; and providing information analogous to the determined use of the treatment implement.

Abstract: Method for treating a surface includes: automatically evaluating at least one digital image which includes the target surface; determining the nature of the target surface according to the evaluation of the at least one digital image; determining at least one available treatment implement according to the evaluation of the at least one image; determining the nature of the surface treatment according to the evaluation of the at least one image; automatically determining a use of the determined treatment implement in the determined treatment of the determined surface; and providing information analogous to the determined use of the treatment implement.

Abstract: A system and method for treating a surface of a user's body part, including: obtaining target surface condition information from a user's body part surface using one or more condition sensors taken from a group consisting of: an optical sensor and a bio-sensor; classifying the target surface condition information using a machine learning classifier to determine an initial target surface condition classification; obtaining treatment progress information using a combination of motion sensor data and surface condition information from the one or more condition sensors; and classifying the treatment progress information using a machine learning classifier to determine a progress classification for treating the initial target surface condition classification.