A walking training system includes a treadmill, a center-of-gravity position detection unit that detects a center-of-gravity position of a trainee from a load received from a sole of the trainee on a belt of the treadmill, a posture detection unit that detects a posture of the trainee, a center-of-gravity position estimation unit that estimates the center-of-gravity position of the trainee from the detected posture of the trainee, a determination unit that determines whether a difference between the detected center-of-gravity position and the estimated center-of-gravity position exceeds a predetermined value, and a notification unit that sends, when the determination unit determines that the difference exceeds the predetermined value, a notification notifying that whether the difference exceeds the predetermined value.

A walking state measurement system includes: an endless belt that defines a walking surface on which a subject walks and that travels along a walking front-rear direction; a marker provided on at least the walking surface along a circumferential direction of the belt; a first camera for taking an image of the subject from front, the first camera taking an image of the marker on the walking surface from above to generate a first image; a second camera for taking an image of the subject from front, the second camera taking an image of the marker on the walking surface from above to generate a second image; and a correction processing unit that corrects an image generated by at least either the first camera or the second camera based on a position of an image area of the marker included in each of the first image and the second image.

A method for providing remote rehabilitation training is provided. The method includes receiving, by a server, a connection request from a user terminal and a therapist terminal, receiving, by the server, first image data, about an appearance where a user performs rehabilitation training using a rehabilitation training device, in real time from the user terminal, receiving, by the server, second image data, provided to the user who is performing the rehabilitation training, in real time from a rehabilitation training display device, and transmitting, by the server, the received first image data and the received second image data to the therapist terminal in real time.

A balance training system including a riding plate; a load distribution sensor; a load sensor; a mobile body on which the riding plate, the load distribution sensor, and the load sensor are disposed; and a control unit configured to calculate a reference position based on positions of feet of a trainee detected by the load distribution sensor, then calculate a center of gravity position of the trainee based on the load detected by the load sensor, and control a movement of the mobile body based on a change of the center of gravity position with respect to the reference position. The control unit is configured to update the reference position based on the changed positions of the feet of the trainee when the change of the position of at least one of the feet of the trainee is detected by the load distribution sensor.

Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.

A method for optimizing at least one exercise for a first user. The method includes receiving first user data including attribute data associated with the first user and outcome data associated with the exercise. The method includes generating, based on the first user data, initial target data. The initial target data is associated with at least one of the first user, the exercise apparatus, and the exercise. The method includes receiving measurement data associated with at least one of the first user, the exercise apparatus, and the exercise. The measurement data is associated with one or more sensors. The method includes determining differential data based on one or more differences between the initial target data and the measurement data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate optimized target data.

A balance training system including a mobile plate configured to support a sole of a trainee in a standing state, a first member fixed on the mobile plate, a load distribution sensor including a plurality of sensors arranged in a matrix under the mobile plate and configured to detect a load received from the trainee riding on the mobile plate and a position of the first member, and a control unit configured to calculate a net moving amount of a center of gravity position of the trainee based on a difference between a moving amount of a center of gravity position of the load received from the trainee detected by the load distribution sensor and a moving amount of the position of the first member detected by the load distribution sensor and to control a movement of the mobile plate based on a result of the calculation.

There is provided a limb exercise device comprising: a force sensor configured to determine a weight applied to the device; a sliding component configured to facilitate the sliding movement of the device along a separate surface, wherein the separate surface is a surface that is separate to the device, wherein the sliding component comprises a part of an external housing of the device; a device movement sensor configured to determine a movement of the device on the separate surface; a limb position sensor configured to determine a position, in at least one dimension, of a limb of a user positioned above or adjacent to the device; and an output device configured to output an indication in dependence on a signal from at least one of: the force sensor, the device movement sensor and the limb position sensor.

A motion assist crane device can include a base, a support tower extending upwardly from the base, a counterbalance beam attached to the support tower at a position between the ends of the counterbalance beam by a hinge, a tether attached to a first end of the counterbalance beam, the tether configured to attach to an arm of a user, and one or more weights positioned on a second end of the counterbalance beam. A method for assisting motion of a user's arm can include providing the device, attaching the tether to the user's arm, and moving the user's arm, wherein the movement is at least partially supported by the weights.

The invention is directed to systems, devices, and methods for measuring force and repetitions during exercise or rehabilitation activities. Devices in accordance with embodiments may include: a casing; a processor within the casing; a display visibly on the casing; a first attachment portion on one end of the casing; a second attachment portion on an opposite end of the casing; and a force sensor connected to the first and the second attachment portion, the force sensor in communication with the processor. Methods may include: attaching a pneumatic exercise device to the wireless force measurement device; conducting exercises causing a piston in the pneumatic exercise device to move compared to from the wireless force measurement device; counting, by the device, the number of times the piston moves towards or away from the device; determining, by the device the amount of force applied through the pneumatic exercise device during the exercise.