Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Abstract: In some implementations, a computing device can confirm a sleep determination for a user based on secondary indicia of user activity. For example, the computing device can be a user's primary computing device. The primary device can predict and/or determine when the user is sleeping based on the user's use (e.g., primary indicia), or lack of use, of the primary device. After the primary device determines that the user is sleeping, the primary device can confirm that the user is asleep based on secondary indicia of user activity. In some implementations, the secondary indicia can include user activity reported to the primary computing device by other secondary computing devices (e.g., a second user device, a household appliance, etc.). In some implementations, the secondary indicia can include user activity detected by sensors of the primary computing device (e.g., sound, light, movement, etc.).