Accessory systems configured to convert motion from a given exercise device into computer readable instructions for a given general-purpose computer. The accessory systems include a microcontroller and a sensor. The microcontroller is in data communication with the given general-purpose computer. The sensor is in data communication with the microcontroller and mounted in a position to monitor the given exercise device. The sensor is configured to detect motion of the given exercise device and to send motion data to the microcontroller. The microcontroller is programed with computer executable instructions to convert the motion data into computer readable instructions for the given general-purpose computer. In some examples, the accessory system includes a magnet, a first supplementary input, a second supplementary input, and/or a user input device.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

A platform models and correlates physical activities based on users' interactions with a simple grip-metaphor design, enabling multi-dimensions actionable information to improve the health, performance and well-being of connected grip users within like-minded communities. For example, the platform captures multi-dimensional datasets generated from activities of each of a plurality of users on the online human internet of thing platform, where the activities include physical interactions with connected grips systems connected to the online human internet of thing platform. The platform then filters the captured multi-dimensional datasets into a plurality of categories and scores the filtered multi-dimensional data by the human internet of thing platform. Finally, the platform generates a multi-dimensional information modeling for each user based on the scored multi-dimensional data.

Swimming goggles have a left-eye covering and a right-eye covering, each having a corresponding transparent window that defines a field of view and each further having a seal extending between the transparent window and the swimmer's face and formed to exclude water. A near-eye display is in signal communication with an image processor and forms a virtual image in the left- or right-eye field of view.

An indoor, stationary, bicycle training device that provides advantages over conventional designs of exercise bicycles is provided. The stationary bicycle may include a tilting/pivoting mechanism to orient the indoor bicycle to simulate descending or climbing. The indoor bicycle may include flexible and resilient frame elements to support the indoor training device to move side-to-side under some riding situations thereby simulating the side-to-side swaying motion of an outdoor bicycle under the same riding situations. The indoor bicycle may include several combinations of frame adjustments to provide configurable dimensions of the indoor bicycle to adjust the frame to properly fit the rider, which may be adjusted based on corresponding dimensions of a user's outdoor bicycle. Still other aspects of the stationary bicycle device may aid in creating an “outdoor” feeling while using the device.

A golf swing training apparatus has a shaft, a housing with a top cap and a bottom cap, and a plurality of weighted discs receivable within the housing. A golfer may adjust the weight of the head of the club by adding or removing weighted discs in the housing. The golf swing training apparatus may comprise an accelerometer within the housing so as to measure the speed, acceleration, and swing path that the club takes for feedback and analysis to improve the golfer's swing.

Assisted racking of digital resistance includes detecting a state of a cable. A motor is mechanically coupled to the cable to provide resistance during an exercise by tensioning the cable. It further includes determining completion of the exercise based at least in part on the detected state of the cable. It further includes selectively removing resistance from the cable based at least in part on the determination that the user has completed the exercise.

A method and system for measuring exercise data using a plurality of wireless sensors is disclosed. The plurality of wireless sensors are attached onto or into a plurality of pieces of strength training equipment, wherein each individual wireless sensor from the plurality of wireless sensors is attached to and associated with an individual piece of strength training equipment of the plurality of pieces of strength training equipment. An individual piece of strength training equipment of the plurality of pieces of strength training equipment is selected and the wireless sensor is registered with selected piece of strength training equipment with a computing device. Strength training equipment details may be identified through the computing device.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.

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.