The present invention is directed to a method and system for predicting the behavior of an audience based on the biologically based responses of the audience to a presentation that provides a sensory stimulating experience and determining a measure of the level and pattern of engagement of that audience to the presentation. In particular, the invention is directed to a method and system for predicting whether an audience is likely to view a presentation in its entirety. In addition, the present invention may be used to determine the point at which an audience is likely to change their attention to an alternative sensory stimulating experience including fast forwarding through recorded content, changing the channel or leaving the room when viewing live content, or otherwise redirecting their engagement from the sensory stimulating experience.

According to an aspect there is provided an apparatus for determining a measure of the physical fitness of a subject, the apparatus comprising a processing unit that is configured to receive a first measurement signal from a first sensor that measures the force or pressure exerted on an object by the subject over time, the first measurement signal comprising measurements representing the force or pressure exerted on the object during a first movement in which the subject sits down on the object and/or during a second movement in which the subject stands up after sitting on the object; and analyze the first measurement signal to determine the measure of the physical fitness of the subject.

A personalized device for therapeutic training includes a therapeutic device body, electronic circuitry integrated into the therapeutic device body wherein the electronic circuitry comprises at least one sensor. The therapeutic device body is personalized for use by a patient through sizing and shaping the therapeutic device based on measurements of the patient and 3D printing at least a portion of the therapeutic device body and at least a portion of the electronic circuitry to make the personalized device both electrically and mechanically functional.

This disclosure relates to a device to mechanically and electrically connect with a touch screen computing device, such as a tablet computer. The device can include a platform that can be moved into and out of physical contact with a surface of a touch screen. During engagement with the surface, the moveable platform electrically interacts with the touch screen (e.g., via capacitive coupling) to enable detection by the touch screen of contact members (e.g., pegs) even in the absence of user contact with the pegs.

Disclosed is system for assessing a motor function, the system including a sensor configured to acquire human body exercise information including a joint position, a joint orientation, a grasp state, or a grasp force, a processor configured to extract an exercise feature for analyzing a human body motion time and human body motion information based on the acquired human body exercise information, analyze at least one target motion for assessment based on a set assessment condition using the extracted exercise feature, classify an assessment factor of the at least one target motion for assessment as a success or a failure, and determine a final assessment score of the at least one target motion for assessment based on the classified assessment factor, and a display configured to display the final assessment score.

A system for measuring a rower profile of a rower; the system comprising one or more sensors located on an oar for measuring one or more forces imparted on the oar by the rower in use at a predetermined time; one or motion tracking devices for determining a position of the oar in space at the predetermined time; a processing module for interfacing with the one or more sensors and a remote monitoring device; and determining the rower profile from the sensor data and the one or more motion tracking devices.

An apparatus for movement training, and more specifically, an apparatus for movement and function training of the hand and arm and particularly for use in rehabilitation of the hand following a stroke or other neurological or physical impairments. The invention extends to a corresponding system, method, and kit of parts.

A cognitive function evaluation device includes: an obtainment unit configured to obtain, as gait data, at least one of first data and second data, the first data indicating a sway amount of a body of a subject during walking in a first walking section from start of walking of the subject to a predetermined number of steps, and the second data indicating a sway amount of the body of the subject during walking in a second walking section in a double task state in which the subject is walking while doing a given assignment, the second walking section being after the first walking section; a calculation unit configured to calculate a feature value based on the gait data; an evaluation unit configured to evaluate a cognitive function of the subject, based on the feature value; and an output unit configured to output a result of evaluation by the evaluation unit.

A method for calibrating and executing a rehabilitation exercise for a stroke-affected limb of a stroke patient is disclosed, the method comprising the steps of providing a haptic device for an able limb of the stroke patient to manipulate to perform a calibration action to result in a first position of the haptic device, and providing the haptic device for the stroke-affected limb to manipulate to perform the calibration action to result in a second position of the haptic device. The method further comprises the steps of moving the haptic device coupled with the stroke-affected limb from the second position towards the first position until a predetermined counterforce is detected, indicating an extreme position for the stroke-affected limb using the haptic device, and calibrating the haptic device with the extreme position such that during the rehabilitation exercise, the haptic device is prevented from moving beyond the extreme position.

Described herein is a system and method for ergonomic analysis including a sensorized glove having an inner glove including a plurality of extensometer sensors for detecting relative movements between parts of a worker's hand, and an outer glove including a plurality of pressure sensors distributed over a palmar surface and for detecting pressure exerted in corresponding areas of said palmar surface; a wearable network of sensors being located in the network so that they can be associated to corresponding joints of the human body; a unit for generating a sequence of images of a worker task; and a processing unit for receiving data and/or signals from the sensorized glove, from the wearable sensor network, and/or from the unit, and configured for processing said data and/or signals to estimate ergonomic indicators and/or to obtain local information of effort and/or posture.