Harry J. Saddler - Berkeley CA, US Lia T. Napolitano - San Francisco CA, US Thomas R. Gruber - Emerald Hills CA, US
International Classification:
G06F 3/0481
US Classification:
715765
Abstract:
An electronic device receives a first input that corresponds to a request to open a respective application, and in response to receiving the first input, in accordance with a determination that the device is being operated in a limited-distraction context, provides a limited-distraction user interface that includes providing for display fewer selectable user interface objects than are displayed in a non-limited user interface for the respective application, and in accordance with a determination that the device is not being operated in a limited-distraction context, provides a non-limited user interface for the respective application.
- 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 Brandon J. NEWENDORP - San Francisco CA, US Rohit DASARI - San Francisco CA, US Richard D. GIULI - Arroyo Grande CA, US Thomas R. GRUBER - Santa Cruz CA, US Carey E. RADEBAUGH - Los Gatos CA, US Ashish GARG - Bellevue WA, US Vineet KHOSLA - Cupertino CA, US Jonathan H. RUSSELL - San Francisco CA, US Corey PETERSON - Cupertino CA, US
International Classification:
G10L 15/22 G10L 15/18 G10L 13/02
Abstract:
Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving a natural-language user input; identifying, with the one or more processors, an intent object of a set of intent objects and a parameter associated with the intent, where the intent object and the parameter are derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects; and providing the intent object and the parameter to the software application.
- 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 Brandon J. NEWENDORP - San Francisco CA, US Rohit DASARI - San Francisco CA, US Richard D. GIULI - Arroyo Grande CA, US Thomas R. GRUBER - Cupertino CA, US Carey E. RADEBAUGH - Los Gatos CA, US Ashish GARG - Bellevue WA, US Vineet KHOSLA - Cupertino CA, US Jonathan H. RUSSELL - San Francisco CA, US Corey PETERSON - Cupertino CA, US
Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving a natural-language user input; identifying, with the one or more processors, an intent object of a set of intent objects and a parameter associated with the intent, where the intent object and the parameter are derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects; and providing the intent object and the parameter to the software application.
- 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 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.
Isbn (Books And Publications)
Rechtliche Schranken Fur Staatliche Haushaltsdefizite: Kritische Bestandsaufnahme Und Reformmoglichkeiten Am Beispiel Der Bundesrepublik Deutschland
Europaisches Vergaberecht: Uberblick uber Die Vergaberichtlinie 2004, Die Sektorenrichtlinie 2004, Die Bisherigen Rechtsgrundlagen Und Die Aktuelle Rechtsprechung Von EuGH Und EuGEI
Baptist Health Neurosurgery 2603 Kentucky Ave STE 404, Paducah, KY 42003 2704436472 (phone), 2704421649 (fax)
Education:
Medical School University of Buffalo, SUNY School of Medicine and Biomedical Sciences Graduated: 2005
Procedures:
Carpal Tunnel Decompression Craniotomy Spinal Cord Surgery Spinal Fusion Spinal Surgery
Conditions:
Intervertebral Disc Degeneration
Languages:
English
Description:
Dr. Gruber graduated from the University of Buffalo, SUNY School of Medicine and Biomedical Sciences in 2005. He works in Paducah, KY and specializes in Surgery , Neurological. Dr. Gruber is affiliated with Baptist Health Paducah.
, and Thomas Gruber of Cambridge; his stepchildren, Karen Thorp-Dussourd and husband, Ed Dussourd of Chelmsford, Joe Thorp and wife, Sheryl Thorp of Concord, MA, Lynn Denis and husband, Kevin Denis of Crofton, MD; his grandchild, Darcy Angle; and step-grandchildren, Conlan and Kaleigh Dussourd, Aida
Date: Nov 03, 2023
Category: Your local news
Source: Google
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