A differential air pressure system has a pressure bag with windows and preferred folding configuration such that when the bag is folded no window is folded. The pressure bag is supported by a lift support that is proximal to a user control panel and adjacent to or nearly adjacent to the user who is coupled to the pressure bag. A treadmill base for use with differential air pressure equipment is provided. There are various improvements provided to adapt the operations of the DAP system via the use of separate pressure volume and non-pressure volume portions of the treadmill base. Various improvements to serviceability and repairs are provided by placement of components outside of the pressure volume portion or by providing one or more pressure volume access points.

A posture detection system for detecting a user's posture according to the embodiments includes a pressure sensor unit, a controller, a feedback mechanism, and a display unit. The pressure sensor unit has a sheet shape or a padded shape and includes plurality of sensors. Each of the sensors is configured to detect a pressure applied from the user. The controller is configured to classify the user's posture based on detection data detected by the pressure sensor unit. The feedback mechanism is configured to provide feedback to the user by vibrating based on a result of the classification. The display unit is configured to perform a display according to the result of the classification.

Systems and methods for providing a customized exercise protocol to a computing device of a user. As the user performs the exercise protocol, one or more cameras of the computing device can track the user's movements. The user's movement are assessed to determine if proper form and technique is being used.

A method that includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving user related data (URD) associated with the use and receiving alignment data associated with the user while the user engages in at least one activity. The method also includes identifying, based on at least the treatment data, the URD, and the alignment data, at least one alignment characteristic associated with the user and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.

A rock climbing wall includes a support wall and a plurality of rock climbing holds attached to the support wall. The rock climbing wall also includes a sensing apparatus that determines that a climber traversing the rock climbing wall has contacted a first one of the plurality of rock climbing holds. In addition, the rock climbing wall includes a control device that, upon receipt of a signal from the sensing apparatus indicative of the climber contacting the first one of the plurality of rock climbing holds, causes at least a second one of the plurality of rock climbing holds to be indicated as an additional hold to be contacted as the climber traverses a climbing route along the wall.

A method for optimizing at least one exercise for a first user. The method includes receiving first user data including attribute data associated with the first user and outcome data associated with the exercise. The method includes generating, based on the first user data, initial target data. The initial target data is associated with at least one of the first user, the exercise apparatus, and the exercise. The method includes receiving measurement data associated with at least one of the first user, the exercise apparatus, and the exercise. The measurement data is associated with one or more sensors. The method includes determining differential data based on one or more differences between the initial target data and the measurement data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate optimized target data.

An adjustable kettlebell system includes a base having a rod extending from the base. A selector is threaded onto the rod. The rod and selector extend through a plurality of weight supports. Each weight support is connected to an underlying weight support with a connector. As the selector is moved along the length of the rod by rotating the rod, the selector causes the connector to disengage with the underlying weight support. The adjustable kettlebell is then removed without the underlying weight support connected to the handle.

Disclosed are example embodiments of systems and methods for exercise including an exercise machine including a multiple directional force component configured to apply a multiple directional force to an exercise machine-human body interface, the multiple directional force component further configured to provide a divergent intensity to the exercise machine-human body interface to provide the human body with a resistance during a physical exercise and an artificial intelligence (AI) component configured to control the multiple directional force component. In an example, the AI component may control the multiple directional force component based on morphological characteristics and variability of running speed parameters including at least one of stride length, stride frequency, explosive drive force, and arm drive.

In one aspect of the disclosure, a motorized Pilates reformer system may include a frame, a carriage configured to slide along the frame, springs attached to the carriage, attachment mechanisms attached to the frame, spring motors attached to the frame, a footbar rotatably attached to the frame, and a footbar motor attached to the frame. The spring motors may be configured to cause the attachment mechanisms to each alternate between attaching one of the springs to the frame and detaching the spring from the frame. The footbar motor may be configured to rotate the footbar with respect to the frame between multiple footbar positions.

This disclosure relates to using a hand held target (e.g. tae kwon do paddle) as a tool for providing physical performance instructions according to a digital workout performance template loaded in advance.