- Cupertino CA, US Wren N. Dougherty - San Francisco CA, US Divya Nag - Palo Alto CA, US Deborah M. Lambert - San Francisco CA, US Stephanie Greer - San Francisco CA, US Thomas R. Gruber - Santa Cruz CA, US
In some implementations, a mobile device can adjust an alarm siting based of 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 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.
- Cupertino CA, US Wren N. Dougherty - San Francisco CA, US Divya Nag - Palo Alto CA, US Deborah M. Lambert - San Francisco CA, US Stephanie Greer - San Francisco CA, US Thomas R. Gruber - Santa Cruz CA, US
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.
- Cupertino CA, US Wren N. Dougherty - San Francisco CA, US Divya Nag - Palo Alto CA, US Deborah M. Lambert - San Francisco CA, US Stephanie M. Greer - San Francisco CA, US Thomas R. Gruber - Santa Cruz CA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06F 9/54 G06F 3/01 G08B 5/22
Abstract:
In some implementations, a computing device may detect that a user of the computing device intends to sleep. The computing device may cause a reminder notification to be presented on a display of the computing device that prompts the user to prepare one or more secondary devices for sleep. The computing device may obtain, for each of the one or more secondary devices, a desired state for sleep specified by the user. The computing device may cause, for each of the one or more secondary devices, a current state to change to the desired state for sleep. In some implementations, the user activities may be detected by receiving sensor data from one or more sensor devices of the computing device and identifying the user activities based on the received sensor data. In some implementations, the computing device may automatically change the current state to the desired state for sleep.
- Cupertino CA, US Wren N. Dougherty - San Francisco CA, US Divya Nag - Palo Alto CA, US Deborah M. Lambert - San Francisco CA, US Stephanie Greer - San Francisco CA, US Thomas R. Gruber - Santa Cruz CA, US
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.
Scheduling Device For Customizable Electronic Notifications
- Cupertino CA, US Jay Kriz Blahnik - San Francisco CA, US Stephanie M. Greer - San Francisco CA, US Aroon Pahwa - Palo Alto CA, US Jonathan T. Varbel - San Jose CA, US
Sleep alerts associated with an alarm can be scheduled using a first electronic device. Once scheduled, data can be collected from a second electronic device. This data can be used to determine an appropriate device, other than the first electronic device, at which the sleep alert can be presented. Once determined, the information can be sent to the appropriate device for presenting the sleep alert.
Scheduling Device For Customizable Electronic Notifications
- Cupertino CA, US Jay Kriz Blahnik - San Francisco CA, US Stephanie M. Greer - San Francisco CA, US Aroon Pahwa - Palo Alto CA, US Jonathan T. Varbel - San Jose CA, US
An adjustable alarm indicator of an alarm application is described. The adjustable alarm indicator may be presented in connection with an alarm setting sequence. The adjustable alarm indicator may include a variable element having a variable annular shape, a first element associated with a first end of the variable element, and a second element associated with a second end of the variable element. The first element may be independently moveable to adjust the size of the variable element. The second element also may be independently moveable to adjust the size of the variable element.
- Cupertino CA, US Wren N. Dougherty - San Francisco CA, US Divya Nag - Palo Alto CA, US Deborah M. Lambert - San Francisco CA, US Stephanie Greer - San Francisco CA, US Thomas R. Gruber - Santa Cruz CA, US
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.
Scheduling Device For Customizable Electronic Notifications
- Cupertino CA, US Jay C. Blahnik - San Francisco CA, US Stephanie M. Greer - San Francisco CA, US Aroon Pahwa - Palo Alto CA, US Jonathan T. Varbel - San Jose CA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G04F 3/06 G04G 9/00 G04G 13/02 G04G 21/02
Abstract:
An adjustable alarm indicator of an alarm application is described. The adjustable alarm indicator may be presented in connection with an alarm setting sequence. The adjustable alarm indicator may include a variable element having a variable annular shape, a first element associated with a first end of the variable element, and a second element associated with a second end of the variable element. The first element may be independently moveable to adjust the size of the variable element. The second element may be dependently moveable to cause the first element, the second element, and the variable element to move.
Name / Title
Company / Classification
Phones & Addresses
Stephanie Greer President
Provident Realty
2425 Porter St SUITE 12, Soquel, CA 95073 (909)9461663
County of Santa Clara
Child Protection Social Worker
Arapahoe County
Intake Caseworker
Famous Dave's of America 2009 - Jul 2017
Catering Sales Coordinator at Famous Dave's of America
Education:
Metropolitan State University of Denver 2015 - 2017
Masters, Master of Social Work
DigiCircle - Fremont, CA since May 2013
QA Tester
Volt Workforce Solutions Jun 2012 - Apr 2013
3D QA and Touch Up worker for Volt providing technical services for Apple engineering
Zynga - San Francisco, CA Mar 2012 - May 2012
QA Engineer II
Namco Bandai Games America Jan 2011 - Mar 2012
Mobile QA Tester
Crystal Dynamics Feb 2010 - Oct 2010
PS3 Lead
Education:
University of Tennessee-Knoxville 2002 - 2003
No degree, Graphic Design
Skills:
Video Games Xbox 360 Ps3 Quality Assurance Jira Gameplay Ios Xbox Devtrack Seapine Test Track Pro Wii Multiplayer Social Games Psp Android Software Quality Assurance