The present invention is a modular exercise system made up of two handles, a segmented track, and two or more sliding carriages. The invention allows a user to safely and incrementally practice front and side split exercises by providing specific and adjustable stability and support. The invention can be extended to accommodate taller users and can also be fully disassembled and packed into a compact travelling configuration.

An apparatus and method are provided for imparting a repetitive motion to a user. The apparatus may include one or more seat platforms and one or more backrests. Repeated motion of the pelvis and shoulders of the user may be contra lateral. The motions of the user may mimic walking. The apparatus may include a chair. The apparatus may include a sensor. The sensor may be used to control the apparatus and/or the sensor may be used to adjust the movement regime according to the user. The apparatus may help for example, to mobilize limited mobility users and/or to train healthier habits.

An exercise apparatus for targeting the hip muscles is disclosed. The apparatus consists of a plurality of supports, a footboard, and a belt wherein elastic bands may be attached to the belt and to the base supports to provide resistance. The apparatus is fully adjustable for targeting muscles of interest, and collapsible for ready transport. Adjustable handles are optionally provided to maintain user stability and thus maximize the effectiveness of the exercise. A method of using the exercise equipment is also provided.

A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.

A walking training system includes a treadmill configured to prompt a trainee to walk, a display device installed such that the trainee views the display device while walking on the treadmill, a camera configured to image the trainee at an angle of view at which a gait of the trainee is recognizable, a calculation unit configured to calculate a tilt of a body core of the walking trainee based on an image captured by the camera, and a display control unit configured to control the display device to display a body core line associated with the tilt, and an index indicating at least an end of a permissible range of a deflection of the body core line.

A training tight having preconfigured compression zones with integrated knit structure patterns is provided herein. The compression zones may have differing compressive properties where zones having a higher compression force are located at the waist and thigh areas of the tight, and zones having a lower compression force are located at the knee and calf area of the tight. The integrated structure patterns modify the compressive properties of the zones in the areas where the patterns are located in order to further customize the compressive properties of the training tight.

A pedal drive system, in particular for an electric vehicle or a training apparatus, and for generating electrical power from muscle power of a user with at least one pedal and an electric generator, connected mechanically with said at least one pedal, is provided. To improve the haptic feel and feedback at the pedal, a control unit is provided for controlling a feedback torque, applied at said pedal, wherein the control unit comprises a haptic renderer, configured for control of said feedback torque based on at least one user-defined pedal reference trajectory.

A system for physical rehabilitation comprises a clinician interface including a patient profile display presenting data regarding performance of a regimen for a body part. A patient interface presents instructions and status information regarding the performance of the regimen. The patient interface further presents a questionnaire soliciting responses to questions pertaining to current and past physical conditions of the patient. Selected responses to the questions cause the system to take actions, including preventing operation of a treatment apparatus by the patient, and/or transmitting an alert message to a clinician. The alert message may be transmitted within the clinician interface and/or as a real-time message outside of the clinician interface. A questionnaire is presented to the patient in response to occurrence of a triggering event pertaining to the patient's use of the treatment apparatus.

A computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.

A gait evaluation apparatus that evaluates a training gait of a paralyzed patient suffering from paralysis in a leg includes an acquisition unit configured to acquire a plurality of motion amounts of a paralyzed body portion according to a gait motion and an evaluation unit configured to evaluate that the gait motion is an abnormal gait in a case where at least one of the motion amounts acquired by the acquisition unit meets any one of a plurality of abnormal gait criteria set in advance. The abnormal gait criteria include at least two or more first criteria, which are criteria relevant to motion amounts of different parts of the paralyzed body portion, or at least two or more second criteria, which are criteria relevant to motion amounts of the same part of the paralyzed body portion in different directions.