A method includes receiving a first value for each of a plurality of parameters, each of the first values being associated with a user and a first day. The method also includes receiving a second value for each of the plurality of parameters, each of the second values being associated with the user and a second day that is subsequent to the first day. The method also includes determining, for each of the plurality of parameters, a trend indication. The method also includes determining a base weight value for each of the plurality of parameters and multiple pairs of the plurality of parameters. The method also includes causing a message to be communicated to the user that is based at least in part on the determined base weight values.

A method, user device, and system for displaying augmented anatomical features is disclosed. The method includes detecting a target individual, displaying a visual representation of the body, and determining an anatomical profile of the target individual based on a plurality of reference markers. The method further includes displaying, on the display, a graphical representation of the inner anatomical features onto the visual representation of the body so as to assist in the identification of the inner anatomical features. In another aspect, an initial three-dimensional representation of the body is mapped and a preferred anatomical profile is determined based upon the reference markers. The initial three-dimensional representation of the body is modified to be the shape of the preferred anatomical profile and displayed.

An exercise analysis device includes: a group classification unit that classifies activity data, as which measurement data associated with an exercise motion is recorded together with certain reference data that changes during exercise, into multiple groups based on the reference data; a representative data generating unit that generates representative data for the activity data in each of the multiple groups; and a tendency analysis unit that analyzes a tendency of the representative data with respect to the reference data in the multiple groups. With the exercise analysis device, exercise motions can be analyzed appropriately in consideration of the tendency of the entire exercise.

A system and method for personalized diagnosis of human body surface conditions from images acquired from a mobile camera device. In an embodiment, the system and method is used to diagnose skin, throat and ear conditions from photographs. A system and method are provided for data acquisition based on visual target overlays that minimize image variability due to camera pose at locations of interest over the body surface, including a method for selecting a key image frame from an acquired input video. The method and apparatus may involve the use of a processor circuit, for example an application server, for automatically updating a visual map of the human body with image data. A hierarchical classification system is proposed based on generic deep convolution neural network (CNN) classifiers that are trained to predict primary and secondary diagnoses from labelled training images. Healthy input data are used to model the CNN classifier output variability in terms of a normal model specific to individual subjects and body surface locations of interest. Personalized diagnosis is achieved by comparing CNN classifier outputs from new image data. acquired from a subject with a potentially abnormal condition to the healthy normal model for the same specific subject and location of interest.

An image display device includes a display panel having a plurality of pixels, and a photoresistor pattern formed in a non-light emitting area between the plurality of pixels; a panel driving controller to drive light-emission control lines of the display panel; and a bio-signal detector that detects an output voltage of the photoresistor pattern which resistance is variable based on light reflected from the target object, and detects a bio-signal of the target object based on the detected output voltage, thereby, detecting the bio-signal of the target object using the image display light from the display panel may allow efficiently detecting the bio-signal without a separate light source or light source operation circuit for detecting the bio-signal.

A display device including a display panel that displays an image, an input sensor disposed on the display panel, and a readout circuit that receives sensing signals from the input sensor and outputs a moisture level signal, in a skin measurement mode. The readout circuit divides the input sensor into a plurality of blocks, selects a valid sensing block based on the sensing signals from the plurality of blocks, and outputs the moisture level signal based on the sensing signals from the valid sensing block.

The present disclosure relates to computing blood pressure from images of the outer eye of an individual. Images of the outer eye of an individual obtained via a high magnification camera can be analyzed using computer vision to identify features associated with blood vessels in the outer eye, such as blood vessel size or diameter, blood vessel wall thickness, distance between vessels or vessel segments, area between vessels or vessel segments, and/or blood velocity through the vessels. These blood vessel features derived from images may be used to compute a blood pressure measure(s) for an individual through use of an artificial intelligence algorithm which relates the blood vessel features to blood pressure values.

An optical imaging system includes a first lens system housed in a body of a mobile telecommunication device, the first lens system having a first optical axis, a first entrance pupil fixed in space in a reference plane associated with said body, and a first focal length; and an optical telescope providing a diffraction-limited imaging within a spectral range from at least 486 nm to at least 656 nm. The optical imaging system is configured to image, when the optical telescope is inserted between the first lens system and an entrance pupil of a visual system of an eye (EPE), the EPE onto the first entrance pupil and vice versa with a substantially unit magnification.

An electric toothbrush includes a brush head at an end of a handle, an acceleration sensor and/or a rotation sensor that detect(s) movement parameters of the electric toothbrush, a wireless communication interface that wirelessly transmits recorded data comprising the detected movements parameters of the electric toothbrush in a processed state and receives treatment mode data for operating the electric toothbrush, a pressure sensor that detects a contact pressure applied by the brush head to teeth and/or gums, at least one first outputting device that visually outputs signals or commands in accordance with the detected contact pressure or in accordance with the detected movement parameters, and at least one second outputting device that haptically outputs signals or commands, in the form of vibrations, in accordance with the detected contact pressure or in accordance with the detected movement parameters.

A media-playback device acquires a heart rate, selects a song with a first tempo, and initiates playback of the song. The song meets a set of qualification criteria and the first tempo is based on the heart rate, such as being equal to or less than the heart rate. The media-playback device also initiates playback of a binaural beat at a first frequency. Over a period of time, the binaural beat's first frequency is changed to a second frequency. Over the period of time, the first tempo can also be changed to a second tempo, where the second tempo is slower than the first tempo.