David L. Graumann - Portland OR, US Jennifer Healey - San Jose CA, US
International Classification:
G06F 3/044
US Classification:
345174
Abstract:
Systems and methods for providing an enhanced image based on determining a proximal object is in proximity of a control panel. The enhanced image may be displayed on a heads up display of a vehicle.
- Santa Clara CA, US Glen J. Anderson - Beaverton OR, US Lenitra M. Durham - Beaverton OR, US Richard Beckwith - Hillsboro OR, US Kathy Yuen - Portland OR, US Joshua Ekandem - Rex GA, US Jamie Sherman - Portland OR, US Ariel Moshkovitz - Haifa, IL Omer Ben-Shalom - Rishon, IL Jennifer Anne Healey - San Jose CA, US Stephen Brown - Portland OR, US Tamara Gaidar - Haifa, IL Yosi Govezensky - Nofit, IL
International Classification:
H04N 7/18 G05D 1/00 H04N 5/232 G08G 5/00
Abstract:
Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.
Sleep And Environment Monitor And Recommendation Engine
- Santa Clara CA, US Rita H. Wouhaybi - Portland OR, US Sangita Ravi Sharma - Portland OR, US Jonathan J. Huang - Pleasanton CA, US Jennifer Anne Healey - San Jose CA, US Lenitra M. Durham - Beaverton OR, US Omar Ulises Florez Choque - Sunnyvale CA, US
International Classification:
A61B 5/00 A61B 5/0205 A61B 5/0476 A61B 5/11
Abstract:
In some embodiments, the disclosed subject matter involves identifying environmental factors and user context that affect sleep quality. Embodiments use information about the static sleep environment, as well as dynamic environmental factors, such as sound, light, movement, correlated with user context, such as physical and emotional state, as well, as recent behavior to classify sleep data. The correlated and classified sleep data may be used to provide change recommendations, where implementing the recommended change is believed to improve the user's sleep quality. Other embodiments are described and claimed.
Technologies For Managing A Treatment Program Using Smart Pills
Ariel Moshkovitz - Haifa, IL Glen J. Anderson - Beaverton OR, US Tamara Gaidar - Haifa, IL Omer Ben-Shalom - Rishon Le-Tzion, IL Jennifer A. Healey - San Jose CA, US Ido Lapidot - Haifa, IL
International Classification:
G06F 19/00 G06Q 10/10 A61K 9/00
Abstract:
Technologies for managing a treatment program include a treatment management server, smart pills, and patient computing devices. The treatment management server is configured to generate treatment data usable by the smart pills to control a release of one or more drugs in patients. The treatment management server is also configured to transmit the treatment data to the smart pills, obtain physiological data associated with the patients, identify a preferred physiological response among the patients based on the physiological data, and identify the treatment data associated with the preferred physiological response. The smart pills are configured to obtain the treatment data, release one or more drugs into the patients based on the treatment data, sense physiological conditions in the patients, and transmit the physiological conditions to the treatment management server. The patient computing devices facilitate communication between the treatment management server and the smart pills. Other embodiments are described.
- Santa Clara CA, US Glen J. Anderson - Beaverton OR, US Lenitra M. Durham - Beaverton OR, US Richard Beckwith - Hillsboro OR, US Kathy Yuen - Portland OR, US Joshua Ekandem - Rex GA, US Jamie Sherman - Portland OR, US Ariel Moshkovitz - Haifa, IL Omer Ben-Shalom - Rishon, IL Jennifer Healey - San Jose CA, US Steve Brown - Oregon OR, US Tamara Gaidar - Haifa, IL Yosi Govezensky - Nofit, IL
Assignee:
Intel Corporation - Santa Clara CA
International Classification:
G05D 1/00 H04N 5/232 G06T 11/60 H04N 7/18
Abstract:
Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.
Providing Real-Time Access To Resources Based On Driving Record
Alexandra C. ZAFIROGLU - Portland OR, US Jennifer HEALEY - San Jose CA, US Tim PLOWMAN - Berkeley CA, US - Santa clara CA, US
International Classification:
G06Q 30/02 H04L 29/08
Abstract:
Various systems and methods for providing real-time access to resources based on driving record are described herein. A system to provide real-time access to resources based on a driving record comprises: a receiving module to receive vehicle operation data of a vehicle operated by a driver, the vehicle operation data related to an instance of vehicle operation; an offer module to receive an offer for the driver based on the vehicle operation data; and a presentation module to present the offer to the driver substantially concurrent to the instance of the vehicle operation.
System And Method For Creating Profile Of Fuel Quality
- Santa Clara CA, US Alexandra C. Zafiroglu - Portland OR, US Jennifer Healey - San Jose CA, US
International Classification:
G07C 5/08 G07C 5/00 G06F 17/30
Abstract:
Various system and method for creating profiles of fuel quality are described herein. A system to create profiles of fuel quality comprises a receiving module arranged to receive vehicle performance data of a vehicle, the vehicle performance data describing the vehicle's performance over a time period; an association module arranged to associate the vehicle performance data with fuel used by the vehicle during the time period; an analysis module arranged to analyze the vehicle performance data with respect to the fuel to calculate a performance metric of the fuel; and a storage module arrranged to store the performance metric in a performance database at the computing system.
Technologies For Determining A Threat Assessment Based On Fear Responses
John C. Weast - Portland OR, US Jennifer A. Healey - San Jose CA, US Tobias M. Kohlenberg - Portland OR, US Dennis M. Morgan - Pine Grove CA, US Brian D. Johnson - Portland OR, US
International Classification:
G08B 21/04
Abstract:
Technologies for determining a threat assessment based on fear responses comprises monitoring sensor data received from a sensor array located at a monitored site. The sensor data may include behavioral sensor data indicative of a physical behavior of individuals within the monitored site and physiological sensor data indicative of physiological characteristics of individuals within the monitored site. The threat assessment may be based on the behavioral sensor data and physiological sensor data. In some embodiments, context data related to the monitored site may be utilized analyze the behavioral sensor data and physiological sensor data and determine a threat assessment based thereon.
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