Adjusting alarms based on sleep onset latency

• US 10,178,972 B2
• Filed: 07/18/2018
• Issued: 01/15/2019
• 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:
  US16/038,623
• Publication Number:
  US 20180317839A1
• Time in Patent Office: 181 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;

determining, by the computing device, completion of a sleep ritual, wherein the sleep ritual includes one or more sleep ritual activities performed before sleep;

calculating, by the computing device, a sleep onset latency duration based on a difference between an intended sleep time associated with the completion of the sleep ritual and an actual sleep time;

obtaining, by the computing device, calendar information describing a calendar event scheduled for a second time;

determining, by the computing device, whether adjusting an alarm set for a first time based on the sleep onset latency duration provides a sufficient waking duration prior to the calendar event at the second time; and

setting, by the computing device, a new alarm to account for the sleep onset latency duration in response to a determination that adjusting the alarm based on the sleep onset latency duration provides the sufficient waking duration prior to the calendar event at the second time.

2. The method as recited in claim 1, further comprising:

detecting, by the computing device, biological signals that correspond to sleeping; and

determining the actual sleep time based on the biological signals that correspond to sleeping.

3. The method as recited in claim 1, further comprising:

detecting, by the computing device, biological signals that correspond to being awake; and

calculating, by the computing device, an actual sleep duration based on a difference between the actual sleep time and a sleep end time, wherein the sleep end time is determined based on the biological signals that correspond to being awake.

4. The method as recited in claim 1, wherein the sleep ritual activities include two or more activities that are regularly performed before going to sleep.

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

6. The method as recited in claim 1, further comprising:

determining, by the computing device, a historical sleep onset latency pattern based on analysis of a plurality of sleep onset latencies over a period of time.

7. The method as recited in claim 1, wherein the sufficient waking duration is based on an amount of time to prepare for the calendar event at 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 of a computing device, cause:

detecting, by the computing device, performance of sleep ritual activities;

determining, by the computing device, completion of a sleep ritual, wherein the sleep ritual includes one or more sleep ritual activities performed before sleep;

calculating, by the computing device, a sleep onset latency duration based on a difference between an intended sleep time associated with the completion of the sleep ritual and an actual sleep time;

obtaining, by the computing device, calendar information describing a calendar event scheduled for a second time;

determining, by the computing device, whether adjusting an alarm set for a first time based on the sleep onset latency duration provides a sufficient waking duration prior to the calendar event at the second time; and

setting, by the computing device, a new alarm to account for the sleep onset latency duration in response to a determination that adjusting the alarm based on the sleep onset latency duration provides the sufficient waking duration prior to the calendar event at the second time.

9. The non-transitory computer-readable medium as recited in claim 8, wherein the one or more sequences of instructions further cause:

detecting, by the computing device, biological signals that correspond to sleeping; and

determining the actual sleep time based on the biological signals that correspond to sleeping.

10. The non-transitory computer-readable medium as recited in claim 8, wherein the one or more sequences of instructions further cause:

detecting, by the computing device, biological signals that correspond to being awake; and

calculating, by the computing device, an actual sleep duration based on a difference between the actual sleep time and a sleep end time, wherein the sleep end time is determined based on the biological signals that correspond to being awake.

11. The non-transitory computer-readable medium as recited in claim 8, wherein the sleep ritual activities include two or more activities that are regularly performed before going to sleep, and wherein the sleep ritual activities are detected using two or more distinct sensors of the computing device.

12. The non-transitory computer-readable medium as recited in claim 8, wherein the one or more sequences of instructions further cause:

determining, by the computing device, a historical sleep onset latency pattern based on analysis of a plurality of sleep onset latencies over a period of time.

13. The non-transitory computer-readable medium as recited in claim 8, wherein the sufficient waking duration is based on an amount of time to prepare for the calendar event at the second time.

14. 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, cause;

detecting, by a computing device, performance of sleep ritual activities;

determining, by the computing device, completion of a sleep ritual, wherein the sleep ritual includes one or more sleep ritual activities performed before sleep;

calculating, by the computing device, a sleep onset latency duration based on a difference between an intended sleep time associated with the completion of the sleep ritual and an actual sleep time;

obtaining, by the computing device, calendar information describing a calendar event scheduled for a second time;

determining, by the computing device, whether adjusting an alarm set for a first time based on the sleep onset latency duration provides a sufficient waking duration prior to the calendar event at the second time; and

setting, by the computing device, a new alarm to account for the sleep onset latency duration in response to a determination that adjusting the alarm based on the sleep onset latency duration provides the sufficient waking duration prior to the calendar event at the second time.

15. The system as recited in claim 14, wherein the one or more sequences of instructions further cause:

detecting, by the computing device, biological signals that correspond to sleeping; and

determining the actual sleep time based on the biological signals that correspond to sleeping.

16. The system as recited in claim 14, wherein the one or more sequences of instructions further cause:

detecting, by the computing device, biological signals that correspond to being awake; and

calculating, by the computing device, an actual sleep duration based on a difference between the actual sleep time and a sleep end time, wherein the sleep end time is determined based on the biological signals that correspond to being awake.

17. The system as recited in claim 14, wherein the sleep ritual activities include two or more activities that are regularly performed before going to sleep.

18. The system as recited in claim 14, wherein the sleep ritual activities are detected using two or more distinct sensors of the computing device.

19. The system as recited in claim 14, wherein the one or more sequences of instructions further cause:

determining, by the computing device, a historical sleep onset latency pattern based on analysis of a plurality of sleep onset latencies over a period of time.

20. The system as recited in claim 14, wherein the sufficient waking duration is based on an amount of time to prepare for the calendar event at the second time.