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 method of modifying execution of one or more applications being executed by one or more processors includes receiving image data reproducible as one or more images of (i) at least a portion of a hand of a user, (ii) at least a portion of an object held in the hand of the user, or (iii) both (i) and (ii); analyzing the image data, using the one or more processors, to determine (i) one or more gestures performed by the hand of the user, (ii) an identity of the object held in the hand of the user, or (iii) both (i) and (ii); and based at least in part on the one or more gestures, the identity of the object, or both, modifying the execution of the one or more applications being executed by the one or more processors.

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 method includes (i) receiving data associated with an individual, the individual having hands; (ii) determining, from the received data, that the individual is washing the hands; and (iii) generating a response to be communicated to the individual based at least in part on the determination that the individual is washing the hands.

Abstract: A device includes a real-time clock, an energy storage device, an energy harvester, a memory, a control system, and a transceiver. The real-time clock generates time data. The capacitor stores electrical power operable to power the real-time clock. The energy harvester charges the energy storage device. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions to associate the time data with motion data that is indicative of a relative orientation of the device, movement of the device, or both. The transceiver transmits at least a portion of the motion data and the associated time data to a user device.

Abstract: A system includes a handle, a camera attachment, and a docking station. The camera attachment is configured to be coupled to the handle, and includes an image sensor. The docking station includes a housing that defines a first aperture. The first aperture is configured to receive at least a portion of the camera attachment therein. When the camera attachment is coupled to the handle and not received in the first aperture, the image sensor is configured to generate first image data that is reproducible as an image of a first target area located outside the housing of the docking station. When the camera attachment is received in the first aperture, the image sensor is disposed within the housing of the docking station and is configured to generate second image data that is reproducible as an image of a second target area located within the housing of the docking station.

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: Systems and methods are provided for performing skin analysis using smart mirror systems. In one example, a plurality of RGB images are acquired via an RGB camera integrated with a smart mirror. Using the RGB images as input, multiple skin key performance indicators (KPIs, also referred to as skin features) including sebum porphyrin, redness, acne, eczema, rosacea, UV spots, brown spots, eye bags, scars are classified and/or quantified. In particular, computer vision algorithms are used in order to detect tone changes within the user's skin, and segment the various skin features. Thus, the systems and methods describes herein are robust in adapting to different skin colors, tones, and/or hues.

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 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 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: 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: 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 of permitting an individual to virtually try on a piece of jewelry using augmented reality comprises generating image data associated with the individual and a trial implement. The trial implement is positioned about a portion of the individual. The image data can be generated using one or more image sensors. The method further comprises analyzing the image data to identify the trial implement. The method further comprises causing an electronic display device to display a real-time video of a virtual version of the individual and a virtual version of the piece of jewelry on the individual. The virtual version of the piece of jewelry is positioned relative to the virtual version of the individual based at least in part on the identified trial implement.

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 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.