Susan Johnson - Rochester MI Tejas Desai - Sterling Heights MI Deborah Marie Lambert - San Francisco CA Jonathan Clark - Provo UT Jeralyn Reese - Pasadena CA
Assignee:
Siemens VDO Automotive Corporation - Auburns Hills MI
International Classification:
G08B 108
US Classification:
340539, 340507, 340426, 3404255
Abstract:
An improved key fob and key combination allows the mechanical key to be removed from the key fob and given to a valet attendant. The key is provided with a mechanical latch which may be easily removed from the key fob. When the key is removed, secured areas on the vehicle are locked. Moreover, the vehicle has limited operation when the mechanical key is not received with the key fob. In a second feature of this invention, a locator function on the key fob provides an indication of an approximate direction to a vehicle in a parking area. The key fob relies upon RF transmissions from the vehicle to determine an approximate direction to the vehicle.
- 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.
Confirming Sleep Based On Secondary Indicia Of User Activity
- Cupertino CA, US Roy J. Raymann - Carlsbad 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:
A61B 5/00 A61B 5/11
Abstract:
In some implementations, a provisional determination that a user of a first device is awake may be based on data indicating that the first device is being used. Also, sleep sounds associated with a human sleeping may be detected, and sleep sound information corresponding to the user may be obtained. Next, the detected sleep sounds may be compared to the sleep sound information, and a determination may be made as to whether the detected sleep sounds are attributable to the user based on the comparison of the detected sleep sounds and the sleep sound information. In addition, the provisional determination that the user is awake may be revised to indicate that the user is sleeping in response to a determination that the detected sleep sounds are being performed by the user in order to provide a more accurate sleep determination for the user.
- 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.
- 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.