Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for performing operations comprising: receiving a video that includes a depiction of a body of a user; detecting a plurality of skeletal joints of the body depicted in the video; tracking movement of the plurality of skeletal joints across a set of frames of the video; and smoothing the movement of a first set of the plurality of skeletal joints between frames in the first set of frames independently of smoothing movement of a second set of the plurality of skeletal joints in the first set of frames.

Display device for displaying sub-surface structures including acquisition apparatus to acquire images of at least part of the user's body or an object from acquisition signals defining a pre-determinable multispectral radiation band, display to make at least one image accessible to an operator in real time, a processor to coordinate the acquisition apparatus and display and extract, from the images, reference signals including first surface and/or sub-surface localization points defined by the part of the body or object, a database operationally connected to the processor including a plurality of models of sub-surface structures of the part of the body or object, each defining predetermined configurations of second localization points. The processor compares models with reference signals and selects one model having second localization points matching more with the first localization points, and the display makes accessible the model selected so the operator can see the sub-surface structure.

The present disclosure provides systems and methods for performing an automated scan preparation for a scan of a target subject. The automated scan preparation may include, for example, identifying a target subject to be scanned, generating a target posture model of the target subject, causing a movable component of a medical imaging device to move to its target position, controlling a light field of the medical imaging device, determining a target subject orientation, determining a dose estimation, selecting at least one target ionization chamber, determining whether the posture of the target subject needs to be adjusted, determining one or more scanning parameters (e.g., a size of a light field), performing a preparation check, or the like, or any combination thereof.

The present disclosure relates to an information processing apparatus, an information processing method, and a program capable of providing more effective learning content in learning motion of a body.

An adjustment unit generates an adjusted second virtual object by adjusting, on the basis of feature point information of a first person included in a first virtual object reflecting a body motion of the first person, a second virtual object reflecting a body motion of a second person to be superimposed on the first virtual object. The technology according to the present disclosure can be applied to, for example, an information processing apparatus such as a smartphone.

An examination device includes a processor, and the processor detects, in swallowing videoendoscopy in which an inflow object is given to a subject and a swallowing action is observed, at least two timings among a swallowing instruction timing at which a swallowing instruction is given, an inflow timing of the inflow object into the pharynx during the swallowing action, and a swallowing reflex triggering timing in the subject.

A measurement system includes a number of audio transducers configured in a first arrangement for acoustic testing of a subject in a testing position, one or more sensors for collecting measurement data characterizing a position of a subject's head relative to the audio transducers, a controller for processing the measurement data to determine feedback data characterizing a difference between the position of the subject's head and the testing position, and a feedback indicator for presenting the feedback data to the subject.

Systems and methods are disclosed to objectively identify sub-second behavioral modules in the three-dimensional (3D) video data that represents the motion of a subject. Defining behavioral modules based upon structure in the 3D video data itself—rather than using a priori definitions for what should constitute a measurable unit of action—identifies a previously-unexplored sub-second regularity that defines a timescale upon which behavior is organized, yields important information about the components and structure of behavior, offers insight into the nature of behavioral change in the subject, and enables objective discovery of subtle alterations in patterned action. The systems and methods of the invention can be applied to drug or gene therapy classification, drug or gene therapy screening, disease study including early detection of the onset of a disease, toxicology research, side-effect study, learning and memory process study, anxiety study, and analysis in consumer behavior.

A system for respiration monitoring includes a garment, which is configured to be fitted snugly around a body of a human subject, and which includes, on at least a portion of the garment that fits around a thorax of the subject, a pattern of light and dark pigments having a high contrast at a near infrared wavelength. A camera head is configured to be mounted in proximity to a bed in which the subject is to be placed, and includes an image sensor and an infrared illumination source, which is configured to illuminate the bed with radiation at the near infrared wavelength, and is configured to transmit a video stream of images of the subject in the bed captured by the image sensor to a processor, which analyzes movement of the pattern in the images in order to detect a respiratory motion of the thorax.

During a first time period and for a first user, a second user is automatically selected based on competitive data of the first user and competitive data of the second user, and a workout selection is sent to cause a video of a workout to be displayed during a second time period on a smart mirror of the first user and a smart mirror of the second user. During the second time period, a live stream of the first user exercising is displayed at the smart mirror of the second user, and a live stream of the second user exercising is received and displayed at the smart mirror of the first user. During the second time period, a performance score of the first user and a performance score of the second user is displayed at the smart mirrors of the first user and the second user.

Disclosed herein is robust detection of facial expressions that accounts for interferences on the face. In one embodiment, a system includes a head-mounted device that comprises (i) light sources configured to emit light towards a first region on a user's face, and (ii) discrete photosensors, spread over more than 2 cm, which take measurements of reflections of the light from the first region. Additionally, the system includes a head-mounted camera that captures images of a second region on the face. A computer calculates, based on the images, an extent of presence of hair over a portion of the first region. Optionally, the computer calculates extents of other interferences such as perspiration, applied makeup, and skin infection. The computer then detects facial expressions of the user based on the measurements of the reflections and the calculated extent of the hair and/or other interferences.