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 fitness device includes a main body, a left wing extending outwardly from the main body in a first direction, and a right wing extending outwardly from the main body in a second direction opposite the first direction. A cable extends from the main body to each of the left wing and the right wing. The fitness device further includes a gearbox, a spool assembly connected to an input end of the gearbox, a brake assembly connected to an output end of the gearbox, and a pulley assembly.

A system for communicating pitch selections wirelessly from a wireless transmitter has a coded signal generator that generates coded signals in accordance with selected pitch types. A receiver decodes the received coded signals, selects an audio file based on the received coded signal and generates an audio signal announcing the selected pitch type based on the transmitted selected pitch type in accordance with the received coded signal. The audio signal is transduced by a bone conductor transducer so that the player can hear the announced selected pitch type through bone conduction.

A method for optimizing at least one exercise. An exercise apparatus is configured to enable a user to perform the at least one exercise. The method includes receiving user data. The method includes generating, based on the user data, initial target data. The method includes receiving measurement data associated with one or more sensors. The method includes determining, differential data. The determining is based on one or more differences between the initial target data and the measurement data. The method includes receiving cohort data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate message data based on a difference between the differential data and the cohort data. The method includes transmitting, to an interface associated with a user, a message to the user based on the message data.

A method includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving alignment data associated with the user while the user engages in at least one activity and receiving at least one alignment characteristic associated with the user and determining, using at least the at least one alignment characteristic, whether the at least one alignment characteristic correlates with at least one secondary condition of the user. The method also includes generating secondary condition information indicating at least the secondary condition and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input. The treatment plan input includes at least one modification to the at least one aspect of the treatment plan and wherein, further, the treatment plan input is generated based on the secondary condition information.

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, 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.

An interactive exercise apparatus for guiding a user to perform exercises includes a frame, a mirror, a display device, a driving mechanism, a determination unit, and a control unit. The mirror is movably mounted on the frame and configured to reflect an image of the user. The display device is disposed on a backside of the mirror and visible through the mirror. The driving mechanism is mounted between the frame and the mirror for electrically driving the mirror to move with respect to the frame. The determination unit is configured to determine location or posture of the user who performing the exercise. The control unit is operable to control the driving mechanism according to the location or posture of the user identified by the determination unit so as to control the mirror to move to a suitable position where the user can see their reflected image.

An exercise device includes a base member configured for engaging a mounting structure including a first surface and an oppositely arranged second surface. The first surface of the mounting structure faces towards the user and the second surface of the mounting structure is configured to engage the base member. A coupling system of the exercise device couples the base member to the mounting structure. An arm is pivotally coupled to the base member and is configured to pivot between a retracted position and an operational position. A resistance member is directly coupled to the arm and includes a control member configured to be manipulated by a portion of the user.

Systems and methods are disclosed for generating a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate 3D avatars.