Adjusting alarms based on sleep onset latency

• US 9,826,930 B2
• Filed: 05/09/2017
• Issued: 11/28/2017
• Est. Priority Date: 09/30/2015
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Raymann, Roy J., Dougherty, Wren N., Nag, Divya, Lambert, Deborah M., Greer, Stephanie, Gruber, Thomas R.
• Primary Examiner(s): Brandt, Christopher M
• Application Number:
  US15/590,805
• Publication Number:
  US 20170238864A1
• Time in Patent Office: 203 Days
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G08B 21/06 indicating a condition of sleep, e.g. anti-dozing alarms
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04M 1/72451 according to schedules, e.g. using calendar applications
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]

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.

Claims

1. A method comprising:

detecting, by a computing device, performance of sleep ritual activities associated with a user of the computing device, wherein the user'"'"'s sleep ritual includes one or more activities that the user performs before going to bed;

determining, by the computing device, a first time based on that the user has performed the user'"'"'s sleep ritual, wherein the first time is when the user intends to sleep;

detecting, by the computing device, biological signals corresponding to the user sleeping at a second time;

calculating, by the computing device, a sleep onset latency duration based on the first time and the second time;

calculating, by the computing device, an actual sleep duration based on the sleep onset latency duration; and

presenting the sleep duration on a display of the computing device.

2. The method of claim 1, wherein the actual sleep duration is calculated from the user actually sleeping at the second time to a sleep end time, wherein the sleep end time is determined based on a scheduled alarm time.

3. The method of claim 1, wherein the presenting includes presenting notification.

4. The method of claim 1, wherein the sleep ritual activities include two or more activities that the user regularly performs before going to sleep.

5. The method of claim 1, wherein the sleep ritual activities are detected using two or more distinct sensors of the computing device.

6. The method of claim 1, wherein the first time corresponds to a third time when the sleep ritual activities end.

7. The method of claim 1, wherein the sleep onset latency duration is calculated by determining a period of time between the first time and the second time.

8. A non-transitory computer-readable medium including one or more sequences of instructions that, when executed by one or more processors, causes:

detecting, by a computing device, performance of sleep ritual activities associated with a user of the computing device, wherein the user'"'"'s sleep ritual includes one or more activities that the user performs before going to bed;

determining, by the computing device, a first time based on that the user has performed the user'"'"'s sleep ritual, wherein the first time is when the user intends to sleep;

detecting, by the computing device, biological signals corresponding to the user sleeping at a second time;

calculating, by the computing device, a sleep onset latency duration based on the first time and the second time;

calculating, by the computing device, an actual sleep duration based on the sleep onset latency duration; and

presenting the sleep duration on a display of the computing device.

9. The non-transitory computer-readable medium of claim 8, wherein the actual sleep duration is calculated from the user actually sleeping at the second time to a sleep end time, wherein the sleep end time is determined based on a scheduled alarm time.

10. The non-transitory computer-readable medium of claim 8, wherein the presenting includes presenting notification.

11. The non-transitory computer-readable medium of claim 8, wherein the sleep ritual activities include two or more activities that the user regularly performs before going to sleep.

12. The non-transitory computer-readable medium of claim 8, wherein the sleep ritual activities are detected using two or more distinct sensors of the computing device.

13. The non-transitory computer-readable medium of claim 8, wherein the first time corresponds to a third time when the sleep ritual activities end.

14. The non-transitory computer-readable medium of claim 8, wherein the sleep onset latency duration is calculated by determining a period of time between the first time and the second time.

15. A system comprising:

one or more processors; and

a non-transitory computer-readable medium including one or more sequences of instructions that, when executed by the one or more processors, causes;

detecting, by a computing device, performance of sleep ritual activities associated with a user of the computing device, wherein the user'"'"'s sleep ritual includes one or more activities that the user performs before going to bed;

determining, by the computing device, a first time based on that the user has performed the user'"'"'s sleep ritual, wherein the first time is when the user intends to sleep;

detecting, by the computing device, biological signals corresponding to the user sleeping at a second time;

calculating, by the computing device, a sleep onset latency duration based on the first time and the second time;

calculating, by the computing device, an actual sleep duration based on the sleep onset latency duration; and

presenting the sleep duration on a display of the computing device.

16. The system of claim 15, wherein the actual sleep duration is calculated from the user actually sleeping at the second time to a sleep end time, wherein the sleep end time is determined based on a scheduled alarm time.

17. The system of claim 15, wherein the presenting includes presenting notification.

18. The system of claim 15, wherein the sleep ritual activities include two or more activities that the user regularly performs before going to sleep.

19. The system of claim 15, wherein the sleep ritual activities are detected using two or more distinct sensors of the computing device.

20. The system of claim 15, wherein the first time corresponds to a third time when the sleep ritual activities end.

21. The system of claim 15, wherein the sleep onset latency duration is calculated by determining a period of time between the first time and the second time.