Peloton Interactive, Inc.

Various systems and methods that enhance an exercise or other physical activity performed by a user are described. In some embodiments, a repetition counting systems can track, monitor, count, or determine a number of repetitions of movements performed by a user during an exercise activity or other activity. For example, the repetition counting system can utilize classification or matching techniques to determine that a certain number of repetitions of a given movement or exercise are performed by the user.

Systems and methods that enhance an exercise activity are described. In some embodiments, the systems and methods personalize certain time-based content for users/members to enhance their experience when exercising or navigating a connected fitness platform. For example, the systems and methods may utilize machine learning models to determine or predict a likelihood of engagement of timely content by users and ranks the content or provides recommendations to the users in response to the determined predictions.

Systems, methods, and non-transitory computer-readable storage media are provided for crowdsourcing actions and commands of a digital assistant application, irrespective of the languages spoken by users of the digital assistant application. Techniques described herein enable the on-boarding of actions datasets, which include defined commands and actions that result therefrom, from client devices to a remote server device. More specifically, the described techniques facilitate the proper on-boarding, distribution, and retrieval of action datasets regardless of the command language employed by users of the digital assistant application to invoke a properly-determined corresponding action.

Systems and methods for enabling users to pause interactive content, such as streamed exercise classes, and return to the classes without compromising their class performance statistics or metrics are described. For example, when a user decides to pause (e.g., they have to quickly handle something), they may have their rank removed from a leaderboard, with the leaderboard passing the ranking to the next user of the activity, while the user is still placed on the leaderboard according to an approximated position or ranking.

A method includes receiving, with a processor in communication with a first exercise machine, a first request for an exercise class, the first request being provided by a first user of the first exercise machine. The method also includes providing a video file associated with the exercise class to the first exercise machine, providing a notification to a second user indicating that the first user has chosen to participate in the exercise class, and receiving a second request for the exercise class provided by the second user. The method further includes providing the video file to a second exercise machine of the second user via the network. In such a method, display of the video file via a display of the second exercise machine is synchronized with display of the video file via a display of the first exercise machine.

The embodiments are directed to operating an exercise device that enables a user to participate in one of multiple network-accessible exercise classes. The embodiments cause a display screen to present the classes for user selection, where the classes are led by multiple instructors and each class is represented on the display as an image that includes its instructor. A selection of one image of a class is accepted via a touchscreen. Packetized data representing the selected class's exercise content is received. The user activity information for the user and for other participants is synchronized to points in time corresponding to that content. The display screen is presented with the selected class's exercise content together with the synchronized activity information for the user and the other participants.

Embodiments of the present invention provide systems, methods, and computer storage media directed to providing talk back automation for applications installed on a mobile device. To do so actions (e.g., talk back features) can be created, via the digital assistant, by recording a series of events that are typically provided by a user of the mobile device when manually invoking the desired action. At a desired state, the user may select an object that represents the output of the application. The recording embodies the action and can be associated with a series of verbal commands that the user would typically announce to the digital assistant when an invocation of the action is desired. In response, the object is verbally communicated to the user via the digital assistant, a different digital assistant, or even another device. Alternatively, the object may be communicated to the same application or another application as input.

A connected fitness platform can determine members are recognized during a live class or other live event, and seamlessly perform actions in response to or along with the recognition. The platform may determine a user or member is being recognized by an instructor or leader of the class/event, such as by tokenizing usernames and utilizing a semantic database to match or identify members represented by the usernames. The platform may then perform actions for the identified members.