Abstract: Leaderboard with irregularity flags in an exercise machine system. In one aspect of the disclosure, a method may include executing a video workout program on first and second exercise machines, monitoring first and second performance parameters of first and second users during the execution of the video workout program, displaying a leaderboard which displays and ranks first and second performance indicators of the first and second users based on the first and second performance parameters, detecting an irregularity in the first performance parameters of the first user, and updating the leaderboard to display an irregularity flag associated with the first performance indicator of the first user to indicate the irregularity in the performance of the first user during the workout.

Abstract: Leaderboard with irregularity flags in an exercise machine system. In one aspect of the disclosure, a method may include executing a video workout program on first and second exercise machines, monitoring first and second performance parameters of first and second users during the execution of the video workout program, displaying a leaderboard which displays and ranks first and second performance indicators of the first and second users based on the first and second performance parameters, detecting an irregularity in the first performance parameters of the first user, and updating the leaderboard to display an irregularity flag associated with the first performance indicator of the first user to indicate the irregularity in the performance of the first user during the workout.

Abstract: Leaderboard with irregularity flags in an exercise machine system. In one aspect of the disclosure, a method may include executing a video workout program on first and second exercise machines, monitoring first and second performance parameters of first and second users during the execution of the video workout program, displaying a leaderboard which displays and ranks first and second performance indicators of the first and second users based on the first and second performance parameters, detecting an irregularity in the first performance parameters of the first user, and updating the leaderboard to display an irregularity flag associated with the first performance indicator of the first user to indicate the irregularity in the performance of the first user during the workout.

Abstract: Controlling an exercise machine using a video workout program. In one aspect of the disclosure, a method may include capturing a video, encoding exercise machine control commands into a subtitle stream of the video to create the video workout program, decoding the subtitle stream of the video to access the exercise machine control commands, periodically determining at least that an actual heart rate zone of a user is not equal to a current programmed heart rate zone and that the actual heart rate of the user is not trending toward the current programmed heart rate zone by at least a threshold heart rate trend rate, and in response adaptively scaling the video workout program by adjusting a current difficulty level upward or downward depending on if the actual heart rate zone is lower or higher than the current programmed heart rate zone, respectively.

Abstract: Stationary exercise machine. In one aspect of the disclosure, a stationary exercise machine may include one or more moveable members configured to be moved by a user, an actuator configured to selectively adjust the speed of, or the amount of resistance on, the one or more moveable members, and one or more processors. The one or more processors may be configured to receive a video, execute the video set to a first difficulty level, receive a second difficulty level, and execute the video reset to the second difficulty level.

Abstract: Stationary exercise machine. In one aspect of the disclosure, a stationary exercise machine may include one or more moveable members configured to be moved by a user, an actuator configured to selectively adjust the speed of, or the amount of resistance on, the one or more moveable members, and one or more processors. The one or more processors may be configured to receive a video, execute the video set to a first difficulty level, receive a second difficulty level, and execute the video reset to the second difficulty level.

Abstract: Leaderboard with irregularity flags in an exercise machine system. In one aspect of the disclosure, a method may include executing a video workout program on first and second exercise machines, monitoring first and second performance parameters of first and second users during the execution of the video workout program, displaying a leaderboard which displays and ranks first and second performance indicators of the first and second users based on the first and second performance parameters, detecting an irregularity in the first performance parameters of the first user, and updating the leaderboard to display an irregularity flag associated with the first performance indicator of the first user to indicate the irregularity in the performance of the first user during the workout.

Abstract: Flagging irregularities in user performance in an exercise machine system. In one aspect of the disclosure, a method may include receiving first performance parameters of a first user associated with a first exercise machine that is executing a video workout program to enable the first user to perform a workout on the first exercise machine. The method may also include detecting an irregularity in the first performance parameters that indicates a performance of the workout by the first user is different than expected. The method may further include, in response to the detecting of the irregularity, displaying a visually discernable indication with a first performance indicator of the first user to visually indicate the irregularity.

Abstract: Stationary exercise machine. In one aspect of the disclosure, a stationary exercise machine may include one or more moveable members configured to be moved by a user, an actuator configured to selectively adjust the speed of, or the amount of resistance on, the one or more moveable members, and one or more processors. The one or more processors may be configured to receive a video workout program, execute the video workout program set to a first difficulty level, receive a second difficulty level, and execute the video workout program reset to the second difficulty level.

Abstract: Stationary exercise machine. In one aspect of the disclosure, a stationary exercise machine may include one or more moveable members configured to be moved by a user, an actuator configured to selectively adjust the speed of, or the amount of resistance on, the one or more moveable members, and one or more processors. The one or more processors may be configured to receive a video workout program, execute the video workout program set to a first difficulty level, receive a second difficulty level, and execute the video workout program reset to the second difficulty level.

Abstract: Stationary exercise machine. In one aspect of the disclosure, a stationary exercise machine may include one or more moveable members configured to be moved by a user, an actuator configured to selectively adjust the speed of, or the amount of resistance on, the one or more moveable members, and one or more processors. The one or more processors may be configured to receive a video workout program, execute the video workout program set to a first difficulty level, receive a second difficulty level, and execute the video workout program reset to the second difficulty level.

Abstract: Stationary exercise machine. In one aspect of the disclosure, a stationary exercise machine may include one or more moveable members configured to be moved by a user, an actuator configured to selectively adjust the speed of, or the amount of resistance on, the one or more moveable members, and one or more processors. The one or more processors may be configured to receive a video workout program, execute the video workout program set to a first difficulty level, receive a second difficulty level, and execute the video workout program reset to the second difficulty level.

Abstract: Controlling an exercise machine using a video workout program. In one aspect of the disclosure, a method may include capturing a video, encoding exercise machine control commands into a subtitle stream of the video to create the video workout program, decoding the subtitle stream of the video to access the exercise machine control commands, periodically determining at least that an actual heart rate zone of a user is not equal to a current programmed heart rate zone and that the actual heart rate of the user is not trending toward the current programmed heart rate zone by at least a threshold heart rate trend rate, and in response adaptively scaling the video workout program by adjusting a current difficulty level upward or downward depending on if the actual heart rate zone is lower or higher than the current programmed heart rate zone, respectively.

Abstract: A method for customizing recipe recommendations may include receiving a target number of calories for a user, receiving physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user, analyzing the received physical movement data, determining one or more physical movement parameters based on the analysis of the received physical movement data, determining the recentness of each of the recipes being recommended or logged to the user, assigning a weight to each of the recipes based on the received target number of calories for the user, the determined one or more physical movement parameters, and the determined recentness of the recipe being recommended or logged to the user, ranking the recipes based on their assigned weights, and generating a custom recipe recommendation for the user based on the ranking of the recipes.

Abstract: A method for customizing nutritional supplement recommendations may include receiving a primary nutritional supplement motivation indication of a user, receiving physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user, analyzing the physical movement data, determining one or more physical movement parameters based on the analysis of the physical movement data, generating a custom nutritional supplement recommendation for the user based on the received primary nutritional supplement motivation indication and the determined one or more physical movement parameters.

Abstract: A method for customizing workout recommendations may include receiving a target workout duration for a user, determining a target calorie burn for the user, and determining the recentness of each of the workouts completed by the user. This determination may include receiving physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user, analyzing the physical movement data, and determining whether each of the workouts was completed based on the analysis of the physical movement data. The method may further include assigning a weight to each of the workouts based on the received target workout duration, the determined target calorie burn for the user, and the determined recentness of the workout being completed by the user, ranking the workouts based on their assigned weights, and generating a custom workout recommendation for the user based on the ranking of the workouts.

Abstract: A method for customizing nutritional supplement recommendations may include receiving a primary nutritional supplement motivation indication of a user, receiving physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user, analyzing the physical movement data, determining one or more physical movement parameters based on the analysis of the physical movement data, generating a custom nutritional supplement recommendation for the user based on the received primary nutritional supplement motivation indication and the determined one or more physical movement parameters.

Abstract: A method for customizing recipe recommendations may include receiving a target number of calories for a user, receiving physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user, analyzing the received physical movement data, determining one or more physical movement parameters based on the analysis of the received physical movement data, determining the recentness of each of the recipes being recommended or logged to the user, assigning a weight to each of the recipes based on the received target number of calories for the user, the determined one or more physical movement parameters, and the determined recentness of the recipe being recommended or logged to the user, ranking the recipes based on their assigned weights, and generating a custom recipe recommendation for the user based on the ranking of the recipes.

Abstract: A method for customizing workout recommendations may include receiving a target workout duration for a user, determining a target calorie burn for the user, and determining the recentness of each of the workouts completed by the user. This determination may include receiving physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user, analyzing the physical movement data, and determining whether each of the workouts was completed based on the analysis of the physical movement data. The method may further include assigning a weight to each of the workouts based on the received target workout duration, the determined target calorie burn for the user, and the determined recentness of the workout being completed by the user, ranking the workouts based on their assigned weights, and generating a custom workout recommendation for the user based on the ranking of the workouts.