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.

An exercise device includes a frame, handlebars supported by the frame, and a computing device. The handlebars include a yoke that is movable relative to the frame, a biasing element positioned between the yoke and the frame, and a sensor configured to measure a movement of the yoke.

A portable smart hand grip according to an embodiment of the present disclosure includes a first housing, a guide part combined with the first housing and including a first receiving portion and a second receiving portion, a second housing facing the first housing and having a first pressing portion and a second pressing portion which are received in the first receiving portion and the second receiving portion, respectively, a first elastic member disposed between the first pressing portion and the first housing, a second elastic member disposed between the second pressing portion and the first housing, a sensor received in the first housing for detecting a user's operation of the portable smart hand grip, a control circuit unit received in the first housing to control an operation of the sensor, and a battery unit received in the first housing to provide power to the control circuit unit.

The present disclosure provides a new and innovative system for sport design, tracking, and sharing. The system includes a set of wireless components in communication with a computing system. The computing system may include a graphical user interface, and at least in some instances, communicates over a network with an external system such as a social media platform. Through the graphical interface, a user may program rules to a sport into the wireless components. The user or users may perform the sport with the programmed wireless components, which analyze the actions performed according to the programmed rules. The analysis and other data collected by the wireless components may be reviewed by the users after playing the sport. Furthermore, the data collected and the rules programmed into the wireless components may be shared online to the external system for rating and ranking by an online community.

System for mechanically assisting rehabilitation of a patient. The system includes: a manipulator having at least five degrees of freedom and defining a free end; a limb support for supporting a limb of the patient, and secured relative to the free end of the manipulator; a force sensor operatively connected to the limb support to allow measuring input forces applied by the patient; and a processor communicatively connected to the force sensor, the manipulator, and a memory store which defines a scale factor. The processor is configured to control operation of the manipulator to move the limb support, and further configured so that responsive to receiving an input force measurement from the force sensor, the processor determines an applied force as a function of the input force and the scale factor.

Embodiments of the present disclosure are directed to playground climbing structures that provide a pathway defined by a lower surface and bound on each side by a sidewall. The structures may comprise sensory play activities on the interior of the sidewalls as well as on the exterior of the sidewalls. The climbing structure is also adapted so as to be accessible to children of varying physical abilities, including for instance children with disabilities, such as by having at least one platform configured for access from a wheelchair or other mobility device and incremental adjustments in elevation that may be navigated by a child with limited mobility. Embodiments of the climbing structures are assembled from a plurality of components, which can be connected together in a variety of configurations to provide custom modular structures.

A training device includes an adjustable and free-standing base, a rod affixed to the base and extended upward therefrom, a first coupling attached to a distal end of the rod, a swivel arm attached to the first coupling and extended vertically downward relative to the rod, a gripping implement connected to the swivel arm and being configured to support a distal end of a baseball/softball bat at an elevated pre-swing position, and a second coupling attached to the gripping implement and extended along a curvilinear path terminating beneath the gripping implement, wherein the second coupling further supports the baseball/softball bat. The gripping implement is configured to freely swing about a bottom end of the swivel arm and detachably receive a hitting end of the baseball/softball bat.

An exercise machine monitoring and instruction system for the movement of an element of an exercise machine by an exerciser and providing automated feedback to the exerciser to help improve the exercise in real-time. The exercise machine monitoring and instruction system generally includes an exercise machine having a movable element that moves between a first position and a second position in a reciprocating manner, a sensor that detects a real-time position of the movable element, a processor in communication with the sensor to receive the real-time position data from the sensor related to a position of the movable element and a feedback device in communication with the processor that provides real-time instructions to the exerciser on how to adjust their workout to achieve a desired result.