Abstract: A method for determining a normalized weight of a non-static item is disclosed. Weight data associated with the non-static item is received from a plurality of load cells. A load cell weight for the non-static item is determined based at least in part on the weight data. The load cell weight for the non-static item is received as an input for a machine learning algorithm. The normalized weight for the non-static item is generated as an output for the machine learning algorithm.

Abstract: A system comprising a mirror having a first side and second side, the mirror permitting a first portion of light incident on the first side to transmit therethrough and permitting a second portion of the incident light to reflect therefrom; an electronic display positioned adjacent to the second side of the mirror such that the electronic display is at least partially visible through the first side of the mirror responsive to the electronic display being at least partially activated; one or more sensors positioned generally about a periphery of the mirror configured to detect a presence and relative location of an object positioned adjacent to the first side of the mirror; a light source configured to emit light and at least partially aid in illuminating the object responsive to the object being adjacent to the first side of the mirror; and a camera configured to detect the object.

Abstract: An electronic cigarette with a memory and ability to record the amount and duration of inhalation of nicotine vapor. The electronic cigarette may be integrated with a smart phone application or other software to record usage and provide feedback to the smoker. The application may include an algorithm for the development of a withdrawal schedule for the user to quit smoking or vaping.

Abstract: Tooth brushing monitoring system is disclosed that includes an oral hygiene device with a separate an optical sensor to track positional changes of the oral hygiene device. The optical sensor may alone or in combination with motion sensor data determine position and orientation of an oral hygiene device with respect to a user's mouth. The system may then determine the quality, quantity and location of brushing and 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.

Abstract: A virtual mirror system includes a frame, a first camera, a projector, a memory, and a control system. The first camera is coupled to the frame and is configured to generate first image data reproducible as one or more first images of at least a portion of a subject that is positioned within a first field of view of the first camera. The projector is configured to display images on a vertical surface. The memory stores machine readable instructions. The control system includes one or more processors configured to execute the machine readable instructions to cause the projector to display, on the vertical surface, a virtual mirror image of the subject based on the first image data.

Abstract: Tooth brushing monitoring system is disclosed that includes an oral hygiene device with a separate an optical sensor to track positional changes of the oral hygiene device. The optical sensor may alone or in combination with motion sensor data determine position and orientation of an oral hygiene device with respect to a user's mouth. The system may then determine the quality, quantity and location of brushing and 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.

Abstract: Oral hygiene monitoring system is disclosed to track motion and orientation of an oral hygiene device. The control system may process data output from a motion sensor to determine position and orientation of an oral hygiene device with respect to a user's mouth. In some examples, the system may use machine learning techniques to identify position and orientation, brush stroke type, and other specific actions.

Abstract: 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.

Abstract: An electronic cigarette with a memory and ability to record the amount and duration of inhalation of nicotine vapor. The electronic cigarette may be integrated with a smart phone application or other software to record usage and provide feedback to the smoker. The application may include an algorithm for the development of a withdrawal schedule for the user to quit smoking or vaping.

Abstract: A system comprises a frame, a mirror coupled to the frame, an electronic display device coupled to the frame, a camera coupled to the frame, one or more processors, and one or more memory devices. The one or more processors are configured to execute instructions that are stored in the one or more memory devices. The one or more processors executing the instructions causes the system to continuously display, on the electronic display device, a real-time video feed of a user within a field of view of the camera; identify and object within the field of view of the camera; and, subsequent to the identification, modify the continuously displayed real-time video feed based on at least the identified object.

Abstract: A motion tracking element for an oral hygiene element such as a toothbrush. The motion tracking element may be detachably coupled to the oral hygiene element. The motion tracking element may include a body having an outer surface, a portion of the outer surface having a pattern that includes a plurality of indicators with a non-circular shape. The indicators may be flush with and form part of the outer surface. A plurality of visual markers may be located on the outer surface, each of the visual markers having a circular shape. The plurality of visual markers may be formed integrally with the body. A method for estimating a pose of an oral hygiene device may be achieved using the motion tracking element.

Abstract: 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.

Abstract: Oral hygiene monitoring system is disclosed to track motion and orientation of an oral hygiene device. The control system may process data output from a motion sensor to determine position and orientation of an oral hygiene device with respect to a user's mouth. In some examples, the system may use machine learning techniques to identify position and orientation, brush stroke type, and other specific actions.

Abstract: A method for promoting compliance with an oral hygiene regimen includes displaying, on a display device, a representation of at least a portion of a set of teeth of a user. The method also includes overlaying an indicium on the representation such that the indicium is associated with a first section of the representation. Responsive to a determination, via at least one of one or more processors, that a head of an oral hygiene device is positioned directly adjacent to a first section of the set of teeth that corresponds to the first section of the representation for at least a predetermined amount of time, the indicium is removed from the display device.

Abstract: A method for determining a normalized weight of a non-static item is disclosed. Weight data associated with the non-static item is received from a plurality of load cells. A load cell weight for the non-static item is determined based at least in part on the weight data. The load cell weight for the non-static item is received as an input for a machine learning algorithm. The normalized weight for the non-static item is generated as an output for the machine learning algorithm.

Abstract: A method for promoting compliance with an oral hygiene regimen includes displaying, on a display device, a representation of at least a portion of a set of teeth of a user. The method also includes overlaying an indicium on the representation such that the indicium is associated with a first section of the representation. Responsive to a determination, via at least one of one or more processors, that a head of an oral hygiene device is positioned directly adjacent to a first section of the set of teeth that corresponds to the first section of the representation for at least a predetermined amount of time, the indicium is removed from the display device.

Abstract: A motion tracking element for an oral hygiene element such as a toothbrush. The motion tracking element may be detachably coupled to the oral hygiene element. The motion tracking element may include a body having an outer surface, a portion of the outer surface having a pattern that includes a plurality of indicators with a non-circular shape. The indicators may be flush with and form part of the outer surface. A plurality of visual markers may be located on the outer surface, each of the visual markers having a circular shape. The plurality of visual markers may be formed integrally with the body. A method for estimating a pose of an oral hygiene device may be achieved using the motion tracking element.

Abstract: 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.

Abstract: A method for estimating a pose of an oral hygiene device including a pattern and a plurality of groups of visual markers relative to a location includes (i) receiving image data reproducible as an image of at least a portion of the oral hygiene device; (ii) analyzing the image data to identify a region of interest within the image; (iii) identifying, using at least one of the one or more processors, all candidate visual markers within the region of interest; (iv) obtaining a first proposed three-dimensional pose of the oral hygiene device; (v) validating the first proposed three-dimensional pose of the oral hygiene device; and (vi) obtaining a second proposed three-dimensional pose of the oral hygiene device based on the validated first proposed three-dimensional pose.