Abstract: Methods, systems, and devices for dynamic application icons are described. The application may receive, as part of an application downloading operation, an application software package. The application software package may include a plurality of icons that are configured to visually distinguish the application on a user interface of the user device from other applications running on an operating system of the user device. The application may identify a satisfaction of an achievement threshold corresponding to an alternate icon based on processing data. The application may output, to the operating system of the user device, a visual display instruction to display the alternate icon on the user interface instead of the default icon based on identifying the satisfaction of the achievement threshold. The alternate icon may be visually representative of a type of achievement corresponding to the achievement threshold.

Abstract: A method and system for supplemental sleep detection is described. A system may receive data associated with a user from a wearable device worn by the user, and may detect a primary sleep period for the user based on the received data. The system may additionally detect a supplemental sleep period including a duration that exceeds a threshold duration based on the received data. In some implementations, the system may cause a graphical user interface (GUI) of a user device to display an indication of the detected supplemental sleep period, and may receive a confirmation of the supplemental sleep period via the user device and in response to the indication of the detected supplemental sleep period. The system may subsequently generate one or more insights associated with the user based on the primary sleep period and the supplemental sleep period and, in some implementations, in response to the confirmation.

Abstract: Methods, systems, and devices for activity classification are described. A system may receive physiological data associated with a user via a wearable device, where the physiological data includes at least motion data. The system may identify an activity segment during which the user is engaged in a physical activity based on the motion data, where the activity segment is associated with activity segment data including at least the physiological data collected during the activity segment. The system may generate activity classification data associated with the activity segment based on the activity segment data, the activity classification data including a set of classified activity types and corresponding confidence values. The system may then cause a graphical user interface (GUI) of a user device to display the activity segment data and at least one classified activity type of the set of classified activity types.

Abstract: Methods, systems, and devices for providing guidance during rest and recovery are described. A method may include receiving physiological data associated with a user from a wearable device. The method may include providing, to a user device associated with the user, a first set of physical activity targets and a first set of activity messages based on the received physiological data, where the first set of physical activity targets and the first set of activity messages associated with a first operational mode associated with the user. The method may include identifying a trigger to transition from the first operational mode to a second operational mode associated with the user.