A weight resistance exercise machine having cable and pulley linkage assemblies attached to a single weight stack. Each cable and pulley linkage assembly, which is independent of the other(s), can be used by one arm or leg during bilateral exercise training (that is, training in which both limbs of a pair are used to simultaneously to lift a weight). A tilt platform and biofeedback assembly display and measure in real-time how much each limb of a pair is contributing to such lifting effort.

Disclosed is an exercise device for use during an exercise regimen including a push-up exercise. The exercise device for use in a push-up exercise includes a plurality of bar assemblies, a base assembly, a plurality of sensors electrically coupled to a processor, and a transmitter in communication with a memory. The bar assembly comprises a handle configured to be grasped by a user. The rear frame further defines a protrusion configured to be received by a plurality of recesses on the base assembly. The plurality of sensors are configured to sense data responsive to a motion performed by the user. The processor is configured to determine a quality assessment of a performance of the push-up exercise. The memory is configured to store the sensed data and the assessment.

According to various embodiments, there is provided a plank exercise device including a support portion adapted to receive arms or hands of a person and adapted to receive a display device, a destabilizer connected to the support portion, and a stationary base adapted to hold the destabilizer.

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 system and methods for athletic drill training using networked devices is presented. The networked devices are placed to lay out a drill for an athlete, and they include a sound source to indicate to the athlete where they should be at a given time. The system and methods are flexible enough to be used for most athletic drills. An input device for indicating the athlete is near the networked device can be added for agility drills.

A method for identifying and correcting muscular and skeletal disbalances through exercise includes recording, by a processor, using at least one sensor coupled to the processor, an exercise motion performed by a user, identifying, by the processor, a motion deficiency of the user based on the detected exercise motion, formulating, by the processor, a corrective motion based on the detected motion deficiency, and providing, by the processor, the corrective motion to the user, which also includes identifying motion deficiencies as far as range of motion, balance, symmetry, smoothness, strength, stamina and other motion characteristics, formulating corrective exercise program that involves multiple training machines, formulating exercises in terms of number of repetitions, cadence (frequency) or motion, range of motion, added resistance levels, communicating the corrective exercise program via the screen embedded on each machine, and guiding the user through each exercise, directing user to change exercise machines.

Aspects of the present disclosure are directed toward apparatuses and methods for rendering haptic environments, such as may be used in rehabilitation. As may be implemented in accordance with one or more embodiments, haptic rehabilitative movement is effected by providing feedback signals characterizing sensed engagement of a user's lower extremity with a crank coupled to a shaft that is driven by a motor, and controlling movement of the crank in response to the feedback signals. Force may be provided by the motor and shaft, by applying control inputs to the motor that cause the motor and crank to render respective haptic environments while engaged with the user's lower extremity, via rotation of the shaft. The haptic environments may include one or both of impedance-based haptic environments and admittance-based haptic environments.

An exercise device consisting of two or more flexible elements originating from different locations and connected to a common handle capable of being moved in a variety of directions. Each element also connected to a resistance mechanism and a force measuring device whereby a user interface and microcomputer determine force and direction and displays same in a plethora of varieties.

A stationary exercise device comprises pedals mounted via cranks to opposite sides of a drive wheel; a flywheel with a magnetic rim coupled to the drive wheel; a brake with a motor and one or more permanent magnets mounted for movement relative to the magnetic rim; a measuring unit for measuring at least one of the drive force applied via the drive wheel and the related torque; a measuring device for measuring cadence; and a command module. The command module uses measurements from the measuring unit and the measuring device to calculate a performance parameter and compares the performance parameter against a predetermined performance profile. The command module also can control the motor to move the permanent magnets relative to the magnetic rim to adjust the braking force applied and thereby adjust the performance parameter to conform with the performance profile.

Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.