A walking training system includes a leg orthosis fitted to a leg of a user, a pulling member coupled to the leg orthosis, a first drive mechanism configured to apply pull force to the pulling member, according to walking motion of the user, a holding device that holds the pulling member at a holding level, at a point between a coupling point of the leg orthosis and the first drive mechanism, and a second drive mechanism configured to change the holding level of the pulling member held by the holding device, according to the walking motion of the user.

A system for generating complementary data for a visual display that includes one or plurality of wearable sensors that collect tracking data for a users position, orientation, and movement. The sensor(s) are in communication with at least one processor that may be configured to receive tracking data, identify missing tracking data, generate complementary data to substitute for missing tracking data, generate a 3D model comprised of tracking data and complementary data, and communicate the 3D model to a display. Complementary tracking data may be generated by comparison to a key pose library, by comparison to past tracking data, or by inverse kinematics.

Intensity of a light from a light array comprising a plurality of light sources configured to illuminate in sequence may be detected at two optically isolated points of a motion tracker device. The optically isolated points may be disposed at a distance from one another such that a variation in intensity of light due to shadowing effects from the plurality of light sources is different at the optically isolated points. The optically isolated points may be separated by a T-shaped wall. The motion tracker device may generate a current signal representing a photodiode differential between the two optically isolated points and proportional to the intensity of the light. The current signal may be used for sensor fusion with an inertial measurement unit.

An embodiment in accordance with the present invention includes a technology to continuously measure patient mobility automatically, using sensors that capture color and depth images along with algorithms that process the data and analyze the activities of the patients and providers to assess the highest level of mobility of the patient. An algorithm according to the present invention employs the following five steps: 1) analyze individual images to locate the regions containing every person in the scene (Person Localization), 2) for each person region, assign an identity to distinguish ‘patient’ vs. ‘not patient’ (Patient Identification), 3) determine the pose of the patient, with the help of contextual information (Patient Pose Classification and Context Detection), 4) measure the degree of motion of the patient (Motion Analysis), and 5) infer the highest mobility level of the patient using the combination of pose and motion characteristics (Mobility Classification).

A neuroactivity monitoring system includes a camera configured to acquire image data of a patient positioned on the patient support and a monitoring device in communication with the camera. The monitoring device uses the acquired image data of the camera to identify and track patient landmarks, such as facial and/or posture landmarks, and, based on the tracked movement, characterize patient neuroactivity.

A gait assistance slab is provided. The gait assistance slab includes a body that includes an outer surface. The gait assistance slab further includes a plurality of sensors disposed inside the body. The gait assistance slab further includes a plurality of actuators disposed inside the body. The gait assistance slab further includes circuitry communicatively coupled to the plurality of sensors and the plurality of actuators. The circuitry detects a presence of a person on the outer surface based on an electric signal acquired from one of the plurality of sensors. The circuitry determines a level of actuation of one of the plurality of actuators based on the detected presence of the person and the acquired electric signal. The circuitry further controls, based on the determined level of actuation, the one of the plurality of actuators to assist gait of the person on the outer surface.

A tomographic imaging system comprises a support carrying an image data acquisition system and defining a reference coordinate frame. A scan plan control sets the image-data acquisition system to acquire image-data from a selected imaging zone in the reference coordinate system. A motion detection system to detect movement and includes (i) a dynamic camera system to receive dynamic image information registered in the image coordinate frame of the dynamic camera system, (ii) an arithmetic unit configured to transform the selected imaging zone from the reference coordinate frame to the image coordinate-frame and a (iii) motion analyser to derive motion information from the registered dynamic image information in the transformed selected imaging zone. In the event of motion detected by the motion analyser in or near the imaging zone, the detected motion may be employed for motion correction.

An animal information management system includes a storage and an information processor. The information processor causes an imaging device to perform tracking imaging of a pig, and accumulates still pictures including the pig in the storage, the still pictures being obtained during the tracking imaging. The information processor brings the imaging device into a zoom-in state having a zooming magnification higher than that during the tracking imaging when a predetermined requirement for the accumulated still pictures is satisfied, obtains the identification information of the pig by causing the imaging device in the zoom-in state to capture an image of the pig, and stores the identification information in the storage, in association with the accumulated still pictures.

According to one aspect, a system for augmented reality visualization of benign paroxysmal position vertigo (BPPV) disorder. The system includes a camera configured to capture an image sequence, a processing unit configured to generate at least one virtual model of an inner ear, wherein the at least one virtual model of the inner ear comprises an accurate anatomical representation of a real human inner ear; and a display configured to display the at least one virtual model of the inner ear over the image sequence.

A monitoring system includes a sensor data acquisition device configured to acquire information on an activity of a user; a data analyzer configured to analyze the acquired information on the activity of the user and detect occurrence of an abnormality in the activity of the user; an imaging controller configured to instruct an imaging terminal device that captures an image of the activity of the user to start capturing an image of the user and record imaging data in a case where the occurrence of the abnormality is detected by the data analyzer; an imaging data acquisition device configured to acquire the imaging data recorded by the imaging terminal device; a data storage device configured to store the imaging data acquired by the imaging data acquisition device; and an output device configured to output the imaging data.