An exercise machine includes an exercise element that is movable during a performance of a programmed workout, wherein the programmed workout includes an exercise performed using one or more free weights. The exercise machine also includes a console that incorporates a display and a speaker, one or more processors, and memory storing programmed instructions of the programmed workout that, when executed by the one or more processors, cause the one or more processors to automatically control, by the programmed instructions of the programmed workout, an operating parameter of the exercise element during the performance of the programmed workout and automatically present, by the programmed instructions of the programmed workout, exercise instructions regarding alternating use of the exercise element and of the one or more free weights during the performance of the programmed workout.

A stationary bicycle includes pedals incorporated into the stationary bicycle and configured to be movable with respect to a frame of the stationary bicycle during execution of a programmed workout, wherein the programmed workout includes an exercise performed using one or more free weights. The stationary bicycle includes a display, one or more processors, and memory storing programmed instructions of the programmed workout that, when executed by the one or more processors, cause the one or more processors to automatically alternate between biking portions of the programmed workout and lifting portions of the programed workout, automatically control a resistance level of the pedals during the biking portions of the programmed workout, and automatically present lifting instructions on the display, the lifting instructions configured to instruct a user on lifting the one or more free weights during the lifting portions of the programmed workout.

A method includes: supporting a normal operation mode, during which functionalities of a portable apparatus are available through an operating system of the apparatus, wherein the operating system includes a plurality of layers including a kernel and library functions layer; supporting a limited operation mode during which the apparatus is configured to execute a physical activity algorithm based on physical activity data corresponding to a physical activity session performed by a user of the apparatus, wherein the physical activity algorithm applies a direct low-level hardware access bypassing at least the layers above the kernel and the library functions-layer; and switching between the normal operation mode and the limited operation mode.

An adaptive training system can determine a finite work capacity and critical power and use those determinations to generate an adaptive training programs for workout parameters. To determining a finite work capacity and critical power, the adaptive training system can receive workout data; generate data points by determining, for each workout, a maximum amount of work done for each of multiple time window sizes; fit these workout data points to a function; and determine a critical power and finite work capacity based on the fitted function. Once the adaptive training system has determined a critical power and finite work capacity, the adaptive training system can use them to generate an adaptive training program by keeping a function defined by a set of workout parameters below an ability function that is based on the critical power and finite work capacity.

A system and method for intelligent self-calibration of target load thresholds for users of exercise machines is disclosed herein. In one embodiment, a method includes determining, by one or more processing devices, a bone geometry of a bone in a portion of a body of a user, where said portion is going to be exercised by the user performing an exercise on an exercise machine. The method also includes determining, using the bone geometry, a strain on the bone in the portion of the body of the user such that the strain triggers osteogenesis, determining a target load threshold to be added by the user to the exercise machine during the exercise to achieve the strain that triggers osteogenesis, and, while the user performs the exercise on the exercise machine, causing the target load threshold to be represented on a user interface of a computing device.

An exercise machine includes an aerobic exercise element that is movable relative to a frame of the exercise machine during a performance of a programmed workout, a processor configured to determine a time to instruct a user to perform a set of repetitions of a type of lift with a free weight according to the programmed workout, and a display screen configured to indicate when the time arrives, according to the programmed workout, by presenting written words, and an image, related to the set on the display screen.

An example method for providing enhanced event visualizations based on location data includes receiving, by a visualization processor, location data and sensor data for a plurality of participants; determining an impact indication for two or more participants of the plurality of participants based at least in part on the location data and sensor data; determining, by the visualization processor, a location of impact based on the impact indication and the location data and sensor data for the two or more participants; and generating an impact visualization interface configured to visually indicate impact data associated with the impact indication proximate the impact location.

An apparatus for a smart gym is described herein. An electronic device includes a sensor to detect movement of a user in a workout area, at least one memory, instructions, and processor circuitry to execute the instructions to: generate a skeleton frame representative of the user in the workout area; analyze the detected movements of the user; identify a posture of the user performing an exercise; and output a signal to cause posture feedback to be displayed, the posture-analysis feedback indicative of proper form of a skeleton frame of the user when performing an exercise.

A wobble board includes a platform, a base having a generally flat bottom surface, and at least one compressible member positioned intermediate the platform and the base such that the platform is pivotable with respect to the base.

A method includes providing a first video file to a plurality of exercise machines, the first video file including content associated with an exercise class. The method also includes receiving user data from the plurality of exercise machines, the user data including respective settings associated with a common performance metric. In such a method, the respective settings are used on the plurality of exercise machines during playback of a particular part of the first video file. The method also includes identifying a timestamp associated with the particular part of the first video file, and generating an executable control corresponding to the performance metric. The method further includes generating a second video file comprising the content and the executable control. In such methods, playback of the second video file causes display of the executable control at a part of the second video file corresponding to the timestamp.