Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

An exercise and communications system includes an interactive device, a remote device, and an external device, wherein the interactive device is configured to gather data relating to a user of the system and transmit the same to the remote device, and the remote device is configured to provide analyze the data and transmit a response to the interactive device, which in turn communicates the response to the user and additionally communication with an external device for retrieval of instructions, programs, and data, inter alia. An exercise and communications system facilitates communication between a plurality of users, each having an interactive device and a remote device.

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 monitoring system includes a shoe and a sole integrated into the shoe. The monitoring system also includes a connection mechanism attached to an underside of the sole and is shaped to connect the sole to a pedal. A pressure sensor is incorporated into the shoe that senses a force exerted on the pedal when the shoe is connected to the pedal through the connection mechanism.

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.

Tracking and monitoring athletic activity offers individuals with additional motivation to continue such behavior. An individual may track his or her athletic activity by completing goals. These goals may be represented by real-world objects such as food items, landmarks, buildings, statues, other physical structures, toys and the like. Each object may correspond to an athletic activity goal and require an amount of athletic activity to complete the goal. For example, a donut goal object may correspond to an athletic activity goal of burning 350 calories. The user may progress from goal object to goal object. Goal objects may increase in difficulty (e.g., amount of athletic activity required) and might only be available for selection upon completing an immediately previous goal object, a number of goal objects, an amount of athletic activity and the like.

A treadmill includes a frame, an exercise deck attached to the frame, and a first handle movably attached to the frame. The first handle has a first orientation where the first handle is positioned within a region above the exercise deck and stabilized to support a user's weight during a body weight exercise, and a second orientation where the first handle is positioned away from the region above the exercise deck.

Systems and methods for hypoxia delivery are provided. An apparatus for providing intermittent normoxia and hypoxia intervals includes a breathing component, a normoxia fluid source, a hypoxia fluid source, a valve, and a control system. The valve is configured to disrupt flow from at least one of the normoxia fluid source and the hypoxia fluid source and the control system is configured to cause the at least one valve to switch between delivery of fluid from the normoxia fluid source and the hypoxia fluid source while maintaining positive pressure at the breathing component.

Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, an exercise program comprising a first user energy score, wherein the method comprises generating, by the artificial intelligence engine, the exercise program including an exercise plan including a plurality of exercises. Each respective exercise is associated with user energy consumption metrics based at least on a metabolic equivalent of task (MET) value, and based on the user energy consumption metrics, the first user energy score is associated with the exercise program. The method includes receiving data pertaining to a plurality of users. The data includes physical activity goals the plurality of users desires to achieve. The method includes determining second user energy scores for the physical activity goals, and based on the first and second user energy scores, assigning, by the artificial intelligence engine, at least a subset of the plurality of users to the exercise program.

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.