Patrick T Hayes

US Patent:

20090093278, Apr 9, 2009

Filed:

Dec 15, 2008

Appl. No.:

12/335151

Inventors:

Eric Negron - New York NY, US
Patrick H. Hayes - Mission Viejo CA, US
Jeremy K. Black - N. Tustin CA, US

Assignee:

Universal Electronics Inc. - Cypress CA

International Classification:

H04M 1/00
G06F 7/00

US Classification:

455567, 707102

Abstract:

Metadata is created in connection with an editing of a copy of a digital media for the purpose of generating a sample of the digital media, such as a ringtone generated from a song. The metadata is published and is retrievable for use in editing another copy of the digital media to automatically recreate the media sample.

US Patent:

20090239587, Sep 24, 2009

Filed:

Mar 18, 2009

Appl. No.:

12/406601

Inventors:

Eric Negron - New York NY, US
Patrick H. Hayes - Mission Viejo CA, US

Assignee:

UNIVERSAL ELECTRONICS INC. - Cypress CA

International Classification:

H04M 1/00
G06F 3/048

US Classification:

455566, 715863

Abstract:

A system for use in controlling operating functions of a controllable device includes a hand-held device and an intermediate device in communication with the hand-held device and the controllable device. The hand-held device is adapted to receive a gesture based input and to transmit a signal having data representative of the gesture based input. The intermediate device has programming for translating the data representative of the gesture based input in a signal received from the hand-held device into a command signal to be communicated to the controllable device wherein the command signal has a format appropriate for controlling an operating function of the controllable device that is associated with the gesture based input.

US Patent:

20140067901, Mar 6, 2014

Filed:

Aug 23, 2013

Appl. No.:

13/974708

Inventors:

Blake Shaw - New York NY, US
Andrew Hogue - Ho Ho Kus NJ, US
Daniel Salinas - San Francisco CA, US
Rongjing Xiang - Union City CA, US
Tianhui Li - Brooklyn NY, US
Anoop Ranganath - New York NY, US
Siddhartha Sinha - Brooklyn NY, US
Jon Shea - Brooklyn NY, US
Jackson Davis - San Francisco CA, US
Noah Weiss - New York NY, US
Jason Liszka - New York NY, US
Timothy Julien - New York NY, US
Mark Wyszomierski - Manhasset NY, US
Dennis Crowley - New York NY, US
Patrick Hayes - New York NY, US
Geoffroy Bablon - New York NY, US
Siobhan Quinn - San Francisco CA, US

International Classification:

H04L 29/08

US Classification:

709201

Abstract:

Systems and methods are provided that presents interesting local content to users at times when the content is most actionable and engaging without the user explicitly entering a search term or expressing intent. In one implementation, the system uses contextual signals about a user to rank local content. Signals may include, for example, who they (one or more users) are, what kinds of places they like, where they are, how familiar they are with the area, the time of day, where the user's friends have been nearby, among other information related to the one or more users. A system may be provided that uses contextual rules and machine learning to target content to users. The system learns which of these contextual signals are most important and alters its ranking function to optimize user engagement in terms of conversions.