A practice wall for sports having a plurality of panels arranged in a series of rows and columns. The columns are joined by hinges such that the columns can be folded to create various profiles which will cause a ball to reflect differently depending on the goals of the athlete. In one embodiment the panels can be readily disassembled so the wall can be temporarily erected, stored, and reassembled. In some embodiments the inventive practice wall can be fitted with instrumentation to provide objective performance data to the athlete or a coach.

A basketball training apparatus includes a shot completion sensor, a condition sensor, and a computer. The shot completion sensor determines whether a shot goes through a basketball hoop. The condition sensor senses a physical condition of a basketball shooter. The computer is in communication with the shot completion sensor and the condition sensor, and has a processor for calculating shot completion percentage as a function of the physical condition.

Disclosed is a technical training garment configured for use with modular, interchangeable biomechanics units and or resistance modules. The garment may provide resistance to movement throughout an angular range of motion and or tracks a variety of biomechanical parameters such as stride length, stride rate, angular velocity and power expended by the wearer. The garment may be low profile, and worn by a wearer as a primary garment or beneath or over conventional clothing or athletic uniform. The device may be worn as a supplemental training and or diagnostic tool during conventional training protocols, or as a biomechanics or biometric data capture device during competition.

The present disclosure provides an exercise monitoring device. The exercise monitoring device comprises a sensor module, a processing module, a storage module, and a user interface. The present disclosure also provides a method for estimating maximal oxygen consumption and/or future total exercise time by obtaining a person's physiological data and exercise data. The present disclosure further provides a method for calibrating the future total exercise time by environmental conditions to form an environmental specific total exercise time.

Disclosed is a technical training garment configured for use with modular, interchangeable biomechanics units and or resistance modules. The garment may provide resistance to movement throughout an angular range of motion and or tracks a variety of biomechanical parameters such as stride length, stride rate, angular velocity and power expended by the wearer. The garment may be low profile, and worn by a wearer as a primary garment or beneath or over conventional clothing or athletic uniform. The device may be worn as a supplemental training and or diagnostic tool during conventional training protocols, or as a biomechanics or biometric data capture device during competition.

A method includes receiving a set of treatment plans. Each treatment plan comprising the set of treatment plans may be associated with a user capable of using a treatment device to perform the associated treatment plan. The method also includes receiving healthcare professional profile information. The method also includes identifying treatment device information for each treatment device capable of being used by a cohort of users associated with respective treatment plans. The method also includes using an artificial intelligence engine, wherein the artificial intelligence engine uses at least one machine learning model configured to generate resource deployment predictions, to generate at least one resource deployment prediction. The at least one machine learning model may generate the at least one resource deployment prediction based on at least some treatment plans comprising the set of treatment plans, at least some of the healthcare professional profile information, and at least some of the treatment device information.

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session, and a first computing device configured to: receive treatment data pertaining to the user while the user uses the treatment device to perform the treatment plan; identify at least one aspect of the at least one measurement pertaining to the user associated with a first treatment device mode of the treatment device; determine whether the at least one aspect of the measurement correlates with a secondary condition of the user; and, in response to a determination that the at least one aspect of the at least one measurement is correlated with the at least one secondary condition of the user, generate secondary condition information indicating at least the secondary condition.

An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. A mirror element is attached to at least partially cover the display module. At least one movable arm is connected to the support system and at least one force-controlled component is connected to the mechanical support system. The force-controlled component can be graspable by a user and allows for a range of exercise types and programs.

A method of varying a dynamic resistive force during a strength training exercise includes receiving a selection of the strength training exercise from a set of available strength training exercises and obtaining exercise logic for the strength training exercise from computer memory. The exercise logic provides instructions for generating a vector that defines the dynamic resistive force provided at an end effector of a strength training apparatus during the strength training exercise. The method includes determining a real-time geometric arrangement of a plurality of cables coupled to the end effector, generating, based on the real-time geometric arrangement of the plurality of cables and the exercise logic, time-varying operating setpoints for a plurality of actuator assemblies coupled to the plurality of cables, and exerting the dynamic resistive force at the end effector by controlling the plurality of actuator assemblies in accordance with the time-varying operating setpoints.

A system and method for using resistance type exercise machines is provided. One embodiment provides a tailored resistance level (TRL) that indicates a resistance level for that particular user and that particular exercise machine. The TRL, calculated for a particular user and a particular exercise machine, is based on three concurrently measured variables: the user biometric (such as heart rate), cadence of the user's effort, and measured resistance value (measured as the degrees of angular rotation of the resistance knob 104 of the exercise machine).