Abstract: Techniques described herein include receiving selection of information identifying one or more members for participating in a fitness session, a start time for the fitness session, and a duration of the fitness session. The techniques also includes receiving individual fitness metrics for the one or more members associated with the fitness session, the individual fitness metrics collected during a period of time corresponding to the start time and the duration of the fitness session. The techniques also includes presenting aggregate fitness data for the fitness session corresponding to the received individual fitness metrics for the one or more members associated with the fitness session during the period of time, and presenting at least a subset of the received individual fitness metrics for the one or more members associated with the fitness session during the period of time.

Abstract: This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

Abstract: A server system may facilitate and participate in operations relating to physical activity goals being performed at user devices. For example, the server system may receive a physical activity goal from a first user device associated with a first user profile. The server system may also receive a reward corresponding to the physical activity goal from the first user device. The server system may also transmit at least the physical activity goal to a second user device associated with a second user profile. The server system may also receive, from the second user device, first information associated with the physical activity goal. The server system may also transmit second information associated with the reward to the second user device.

Abstract: In an embodiment, a method comprises: establishing, by a wireless wearable computer worn by a user, a wireless communication connection with a fitness machine; obtaining machine data from the fitness machine while the user is engaged in a workout session on the fitness machine; obtaining, from a heart rate sensor of the wireless device, heart rate data of the user; determining a work rate caloric expenditure by applying a work rate calorie model to the machine data; determining a calibrated maximal oxygen consumption of the user based on the heart rate data and the work rate caloric expenditure; determining a heart rate caloric expenditure by applying a heart rate calorie model to the heart rate data and the calibrated maximal oxygen consumption of the user; and sending to the fitness machine via the communication connection, at least one of the work rate caloric expenditure or the heart rate caloric expenditure.

Abstract: The present disclosure generally relates to user interfaces for breathing sequences. In some examples, a device displays a configuration user interface that comprises a prompt to select a number of cycles of a breathing sequence, adjusts the number of cycles of the breathing sequence to the selected number of cycles in response to selection, and initiates a breathing phase of the breathing sequence. In some examples, the device displays and fluctuates a progress indicator in accordance with the selected number of cycles. In some examples, a device detects a time associated with a first breathing sequence, generates a prompting criteria based on a predetermined prompting frequency and the detected time, determines if the prompting criteria has been met, displays a prompt to initiate a second breathing sequence, wherein the prompt comprises a first affordance, and displays a second breathing sequence user interface in response to selection of the first affordance.

Abstract: The present disclosure relates to devices and processes for monitoring attributes of a user's physical activity (e.g., workout) or inactivity, and to user interfaces (e.g., an activity indicator) for displaying the same. In some examples, a device determines whether physical activity corresponds to a first type based on a first set of criteria, and whether physical activity corresponds to a second type based on a second set of criteria. In some examples, the device controls an inactivity timer that measures user's inactivity. In some examples, the device displays a first visual representation of an attribute or amount of a first type of physical activity, and a second visual representation of an attribute or amount of a second type. In some examples, the device displays a third visual representation of an attribute or amount of a third type of activity. In some examples, the third visual representation corresponds to user's inactivity.

Abstract: This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

Abstract: The present disclosure generally relates to user interfaces for breathing sequences. In some examples, a device displays a configuration user interface that comprises a prompt to select a number of cycles of a breathing sequence, adjusts the number of cycles of the breathing sequence to the selected number of cycles in response to selection, and initiates a breathing phase of the breathing sequence. In some examples, the device displays and fluctuates a progress indicator in accordance with the selected number of cycles. In some examples, a device detects a time associated with a first breathing sequence, generates a prompting criteria based on a predetermined prompting frequency and the detected time, determines if the prompting criteria has been met, displays a prompt to initiate a second breathing sequence, wherein the prompt comprises a first affordance, and displays a second breathing sequence user interface in response to selection of the first affordance.

Abstract: In some embodiments, an electronic device performs techniques related to displaying personalized workout suggestions based on completed workouts. In some embodiments, an electronic device performs techniques related to starting an audio-based workout. In some embodiments, an electronic device performs techniques related to displaying information about a workout during playback of workout content. In some embodiments, an electronic device performs techniques related to displaying information about physical activity of a user relative to a group of users. In some embodiments, an electronic device performs techniques related to coordinating display of workout content among multiple devices.

Abstract: In some embodiments, an electronic device performs techniques related to displaying personalized workout suggestions based on completed workouts. In some embodiments, an electronic device performs techniques related to starting an audio-based workout. In some embodiments, an electronic device performs techniques related to displaying information about a workout during playback of workout content. In some embodiments, an electronic device performs techniques related to displaying information about physical activity of a user relative to a group of users. In some embodiments, an electronic device performs techniques related to coordinating display of workout content among multiple devices.

Abstract: The present disclosure generally relates to user interfaces and techniques for monitoring fitness activity. In accordance with some embodiments, user interfaces and techniques for transitioning between a user interface mode for measuring an activity metric to a user interface mode for measuring a different activity, based on detecting that a user characteristic has changed, are described. In accordance with some embodiments, user interfaces and techniques for measuring activity data and providing activity commentary in response to activity-based events, where different activity commentary is provided based on a characteristic of a user, are described.

Abstract: A method of generating a calibration factor is described. In an example, the method may include establishing a wireless communication connection with a fitness machine. The method may also include obtaining first machine data from the fitness machine. The first machine data may specify a type of the fitness machine. The method may also include initiating a workout session on the wearable computer based on the first machine data. During the workout session, the method may also include obtaining sensor data, obtaining second machine data, and determining the calibration factor based on the second machine data and the sensor data. The method may also include generating a workout session summary based on the calibration factor.

Abstract: In some embodiments, an electronic device performs techniques related to displaying personalized workout suggestions based on completed workouts. In some embodiments, an electronic device performs techniques related to starting an audio-based workout. In some embodiments, an electronic device performs techniques related to displaying information about a workout during playback of workout content. In some embodiments, an electronic device performs techniques related to displaying information about physical activity of a user relative to a group of users. In some embodiments, an electronic device performs techniques related to coordinating display of workout content among multiple devices.

Abstract: A server system may facilitate and participate in operations relating to physical activity goals being performed at user devices. For example, the server system may receive a physical activity goal from a first user device associated with a first user profile. The server system may also receive a reward corresponding to the physical activity goal from the first user device. The server system may also transmit at least the physical activity goal to a second user device associated with a second user profile. The server system may also receive, from the second user device, first information associated with the physical activity goal. The server system may also transmit second information associated with the reward to the second user device.

Abstract: In some embodiments, an electronic device performs techniques related to displaying personalized workout suggestions based on completed workouts. In some embodiments, an electronic device performs techniques related to starting an audio-based workout. In some embodiments, an electronic device performs techniques related to displaying information about a workout during playback of workout content. In some embodiments, an electronic device performs techniques related to displaying information about physical activity of a user relative to a group of users. In some embodiments, an electronic device performs techniques related to coordinating display of workout content among multiple devices.

Abstract: The present disclosure relates to devices and processes for monitoring attributes of a user's physical activity (e.g., workout) or inactivity, and to user interfaces (e.g., an activity indicator) for displaying the same. In some examples, a device determines whether physical activity corresponds to a first type based on a first set of criteria, and whether physical activity corresponds to a second type based on a second set of criteria. In some examples, the device controls an inactivity timer that measures user's inactivity. In some examples, the device displays a first visual representation of an attribute or amount of a first type of physical activity, and a second visual representation of an attribute or amount of a second type. In some examples, the device displays a third visual representation of an attribute or amount of a third type of activity. In some examples, the third visual representation corresponds to user's inactivity.

Abstract: In some embodiments, an electronic device performs techniques related to displaying personalized workout suggestions based on completed workouts. In some embodiments, an electronic device performs techniques related to starting an audio-based workout. In some embodiments, an electronic device performs techniques related to displaying information about a workout during playback of workout content. In some embodiments, an electronic device performs techniques related to displaying information about physical activity of a user relative to a group of users. In some embodiments, an electronic device performs techniques related to coordinating display of workout content among multiple devices.

Abstract: Embodiments are disclosed for a wearable computer with fitness machine connectivity for improved activity monitoring. In an embodiment, a method comprises: establishing, by a processor of a wireless device, a wireless communication connection with a fitness machine; obtaining, by the processor, machine data from the fitness machine; determining, by the processor, a workout session according to the machine data; initiating the workout session on the wireless device; during the workout session: obtaining, from a sensor of the computing device, physiological data of a user of the fitness machine; determining, by the processor, fitness data for the user based on the physiological data, the machine data and at least one user characteristic; and sending, by the processor, the fitness data to the fitness machine.

Abstract: The present disclosure relates to systems and processes for monitoring a workout and for generating improved interfaces for the same. In one example, while receiving activity data for a workout session, a first user interface of a workout application is displayed. While displaying the first user interface of the workout application, user input of a first type is detected. In response to detecting the user input of the first type, a first control affordance to pause receiving the activity data for the workout session is displayed, and activity data for the workout session is continued to be received.

Abstract: Embodiments are disclosed for a wearable computer with fitness machine connectivity for improved activity monitoring. In an embodiment, a method comprises: establishing, by a processor of a wireless device, a wireless communication connection with a fitness machine; obtaining, by the processor, machine data from the fitness machine; determining, by the processor, a workout session according to the machine data; initiating the workout session on the wireless device; during the workout session: obtaining, from a sensor of the computing device, physiological data of a user of the fitness machine; determining, by the processor, fitness data for the user based on the physiological data, the machine data and at least one user characteristic; and sending, by the processor, the fitness data to the fitness machine.