A computer implemented method for facilitating training of body-eye coordination using a computing device having access to a camera is disclosed. The method includes receiving a training video of a player from the camera; superimposing a visual cue onto the training video; extracting a body posture flow of the player from the training video by performing a computer vision algorithm on one or more frames of the training video; determining whether the player has responded to the visual cue by analyzing the body posture flow of the player; and generating a feedback to the player in response to determining that the player has responded to the visual cue. Multi-player embodiments of the present invention are also disclosed.

A device for evaluating and training ankle joint mobility has a plate for supporting a user's a foot or feet, the plate being oscillatable about at least one axis of rotation and provided with an upper support plane, and a fixed support, configured to oscillatably support the plate with respect to a support surface. The plate has at least one contact member configured to oscillatably support the plate with respect to the fixed support, a toothed sector, integrally movable with the at least one contact member and having teeth facing the plate, a gear member meshing with the toothed sector, and a gearmotor connected to the gear member.

Systems and methods to determine a risk factor related to dehydration and thermal stress of a subject are disclosed. Exemplary implementations may: generate output signals, by one or more sensors worn on a body of a subject, conveying information related to one or more of location of the subject, motion of the subject, temperature of the subject, cardiovascular parameters of the subject; store information related to the subject; obtain the output signals; determine in an ongoing manner, from the output signals, values of a water loss metric that correlates with estimated percentage of bodyweight of the subject lost in water; obtain heat index information for a contextual environment surrounding the subject; determine in an ongoing manner, from the output signals, values of an exertion metric that correlates with exertion of the subject due to work; and determine in an ongoing manner values for an aggregated risk factor of the subject.

Systems and methods for monitoring acute:chronic workload ratio (ACWR) are described. An indicator of workload is received from a device worn or carried by a user. An acute workload is determined for the user based on the received indicator of workload over a first period of time. A chronic workload is determined for the user based on the received indicator of workload over a second period of time, where the first period of time is shorter than the second period of time. A current ACWR is determined for the user based on the acute workload and the chronic workload.

A system for determining muscle activation comprises a set of electrode adherable to a skin of a subject, and a processor in communication with the electrodes. The processor has a circuit configured for receiving locations of the electrodes and electrical signals detected by the electrodes, analyzing the signals to identify a section of an active muscle, identifying locations of at least a segment of active muscles and activation patterns of the active muscles based on the identified section, and constructing a displayable map of the locations and the activation patterns, wherein patterns corresponding to different active muscles are distinguishable on the map.

An imaging support device used in a radiography apparatus including a radiation source and a radiation image detector that detects a radiation image of a subject on the basis of radiation emitted from the radiation source and transmitted through the subject includes an optical camera that outputs an optical image by optically imaging a region including an irradiation field of the radiation applied to the subject from the radiation source, and at least one processor, in which the processor associates the optical image acquired by the optical camera with the radiation image on the basis of a timing signal transmitted from the radiation image detector side.

Systems and methods for assessing, monitoring, or theranosing a condition or disorder based on a comparison of limb stability for one or more limbs of a subject from a baseline. The method includes placing two or more inertial measurement sensors on the limbs of the subject, acquiring baseline limb excursion data from the inertial measurement sensors while a patient is performing at least one of a static balance activity and a dynamic balance activity by tracking the relative displacement of the respective two or more inertial measurement sensors; acquiring post-injury limb excursion data after an injury from the inertial measurement sensors while a patient is performing at least one of a static balance activity and a dynamic balance activity; and determining the activity clearance index as a function of a comparison of the baseline limb excursion data compared to the post-injury limb excursion data.

The present invention teaches an articular fracture rehabilitation process measuring device. The measuring device comprises a base plate, a positioning tube, and an electronic angle gauge; the positioning tube and the electronic angle gauge are fixed separately on the base plate. The electronic angle gauge comprises a distance sensor, a rotation angle sensor, a data processor, and a digital display; the data processor is connected to the distance sensor and the rotation angle sensor; the digital display is connected with the data processor.

Embodiments of the presently described device, system and method support upper extremity (UE) therapy through tracking the human hand. The system can include a hand-wearable sensor mounting system with hand-wearable components and a movement interpretation circuit. The device can include a hand-wearable component comprising a hook, and a sensing transducer comprising a clip, wherein the clip is detachably securable to the hook. In embodiments, one or more sensing transducers are translationally and rotationally restricted when secured to the hand-wearable components.

A single-lower-limb rehabilitation exoskeleton apparatus and control methods includes a controller, an intact lower-limb component and a paretic lower-limb component connecting communicatively with the controller. The controller is used to determine the current state of the intact lower-limb through the intact lower-limb component and the current state of the paretic lower-limb through the paretic lower-limb component. When the intact lower-limb component is in the lifting state, the movement data of the intact lower-limb is collected and sent to the controller. The controller is used to determine the corresponding gait data for the paretic lower-limb component according to the movement data of the intact lower-limb and send the gait data to the paretic lower-limb component. The paretic lower-limb component is used to drive the paretic lower-limb to move or walk according to the gait data while the intact lower-limb is in the supporting state.