Embodiments described herein relate to systems and methods for a connected workout mat to create sensory experiences. A connected mat has at least one input device to receive input data and at least one output device that synchronises with content through a digital content platform. A hardware processor generates digital output for the digital content platform or physical sensory output at the connected mat based on the input data from the connected mat and instructor input. Embodiments described herein relate to systems and methods for a workout mat with at least one heating region to create sensory experiences based on input data.

Among other things, a rowing technology includes a first rowing machine having an electromagnetic brake providing a resistance to a rower of the machine in each rowing stroke of a series of rowing strokes of the rower An electronic controller causes the resistance of the electromagnetic brake to vary over each rowing stroke in a profile that emulates resistance to which another rower in a shell on water or on a second rowing machine is subjected in each rowing stroke of a corresponding series of rowing strokes.

A system for an artificial intelligence fitness professional support network for vibrant constitutional guidance includes a computing device configured to obtain at least a biological extraction from a user, receive a user request, determine a fitness regimen, wherein determining the fitness regimen further comprises generating a diagnostic output as a function of the at least a biological extraction, and determining the fitness regimen as a function of the user request and the diagnostic output, and output the fitness regimen.

Systems and methods for delivering exercise content to a user of an exercise apparatus include a database storing exercise content, data associated with a content provider and data associated with an application provider, and a platform server operable to facilitate delivery of the exercise content to the exercise apparatus. The platform server delivers for display on the exercise apparatus archived exercise classes for selection by the user, receives from the exercise apparatus a selection, transmits data representing content of the selected archived exercise class, receives performance data from the exercise apparatus based on activity by the user, and generates archived performance data representing archived user performance parameters for a plurality of other users over at least the portion of the selected archived exercise class. Data is synchronized and updated for display by the exercise apparatus to simulate the user competing with at least some of the other users.

A plurality of motion sensors capable of capturing IR video, depth video, and RGB images. Periodically emitting IR pulses. Capturing IR video, depth video, and RGB images of a user. Generating a point cloud of the user. Generating a 3D model of the user including the point cloud of the user. Inputting the IR video, depth video, and RGB images into a machine learning model. Estimating a set of joints of the user in the 3D model. Tracking, based on the estimated set of joints of the user in the 3D model, the user's motion over a period of time. Determining a number of repetitions of an exercise performed by the user. Determining a feedback value. Calculating, based on the number of repetitions and the feedback value, a user exercise score. Providing, via a graphical user interface, the user exercise score and the feedback value to the user.

Among other things, a processor executes instructions to (a) during a current instance of an exercise activity having a predefined scope and being performed by a subject competitor on a machine, compute a first performance metric for the subject competitor using performance data from the subject competitor's performance of a lesser scope than the predefined scope of the current instance of the exercise activity, the first performance metric being normalized to reflect a hypothetical performance over the predefined scope, (b) receive performance data representing an historical performance during a previous instance of the exercise activity by at least one other competitor on a machine, and (c) present to the subject competitor comparative data based on the first performance metric and on a second performance metric for the historical performance by at least one other competitor that is based on the received performance data and that reflects performance of the at least one other competitor of a scope of the previous instance that is substantially the same as the predefined scope.

A computer-implemented system for an exercise machine includes a mechanical energy storage device and an apparatus configured to supplement the resistance of the mechanical energy storage device with an added resistance and dissipate the energy of the mechanical energy storage device and an associated athlete. A communication pathway enables the exercise machine to communicate with at least one additional associated exercise machine to duplicate the total resistance in the exercise machine to an associated exercise machine. A central server includes a processor, memory, and a networking interface. A first user device includes a display, a processor, a memory, and a networking interface. The central server receives data from the exercise machine, extracts synchronization performance information from the data, and transmits the synchronization performance data to the first user device where it is used to train an athlete for an athletic endeavor.

A full scale practice, training and diagnostic system, method and software medium for providing highlighted progression and tempo illuminations of a practicing player in a first variant. Additional variants provide for field embedded pressure sensors in the field/court surface, as well as on the individual training or practicing person or player, in order to provide each of impact/injury analysis as well as multi-dimensional sensor profile analysis for a given practice activity.

A treadmill includes a deck having a continuous track, and a plurality of slats fixedly connected to the track. The treadmill also includes a first post extending from the deck, a second post extending from the deck opposite the first post, and a first arm supported by the first post and including a first rotary control. The treadmill further includes a second arm opposite the first arm and supported by the second post. The second arm includes a second rotary control separate from the first rotary control. The first rotary control is configured to control a first function of the treadmill and the second rotary control is configured to control a second function of the treadmill different from the first function.

In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.