Timothy Allen Casey

US Patent:

57315396, Mar 24, 1998

Filed:

Oct 2, 1992

Appl. No.:

7/955584

Inventors:

Rhett Garrett Hayden - Scottsdale AZ
Timothy Edmund Casey - Phoenix AZ
Douglas Wade Hill - Scottsdale AZ

Assignee:

Motorola, Inc. - Schaumburg IL

International Classification:

F42C 1300
G06K 900

US Classification:

102211

Abstract:

A target detection method collects spatial data relating to a target at an instant in time. This data is converted to an appropriate coordinate system, such as Cartesian coordinates. A centroid of the target is determined. Predictions of the centroid are made at subsequent time intervals. The predicted centroids are averaged with the current determined centroids. When the closest centroid position of the target is determined, an indication is provided for detonating the warhead of a projectile.

US Patent:

20220245193, Aug 4, 2022

Filed:

Apr 14, 2022

Appl. No.:

17/721214

Inventors:

- Mercer Island WA, US
Skyler Fuzell-Casey - Portland OR, US
Timothy D. Casey - Mercer Island WA, US
Donald Ryan - Talladega AL, US

International Classification:

G06F 16/638
G06F 21/62
G06F 16/683
G06F 16/958
G06F 16/65

Abstract:

A system and method for making categorized music tracks available to end user applications. The tracks may be categorized based on computer-derived rhythm, texture and pitch (RTP) scores for tracks derived from high-level acoustic attributes, which is based on low level data extracted from the tracks. RTP scores are stored in a universal database common to all of the music publishers so that the same track, once RTP scored, does not need to be re-RTP scored by other music publishers. End user applications access an API server to import collections of tracks published by publishers, to create playlists and initiate music streaming. Each end user application is sponsored by a single music publisher so that only tracks capable of being streamed by the music publisher are available to the sponsored end user application.

US Patent:

20200228596, Jul 16, 2020

Filed:

Apr 1, 2020

Appl. No.:

16/837796

Inventors:

- Mercer Island WA, US
Skyler Fuzell-Casey - Portland OR, US
Timothy D. Casey - Mercer Island WA, US
Donald Ryan - Talladega AL, US

International Classification:

H04L 29/08
G06F 16/78

Abstract:

A method for categorizing streamed music based on a sample set of RTP scores for predetermined tracks. High-level acoustic attributes for tracks are determined by an analyzed extraction of low-level data from the tracks. The high-level acoustic attributes are used to develop computer-derived RTP scores for the tracks based on the sample set, which includes RTPs score for a plurality of possible combinations of a rhythm score (R), a texture score (T), and a pitch score (P) respectively from a R range, a T range, and a P range. At least some of the RTP scores correspond to human-determined RTP scores for predetermined tracks among a plurality of predetermined tracks. Each RTP score corresponds to a category among a plurality of categories. The computer-derived RTP scores are used to determine a category for each track among the plurality of categories. Playlists of the tracks are based on one or more of the categories.

US Patent:

20190199781, Jun 27, 2019

Filed:

Mar 4, 2019

Appl. No.:

16/292193

Inventors:

- Mercer Island WA, US
Skyler Fuzell-Casey - Portland OR, US
Timothy D. Casey - Mercer Island WA, US

International Classification:

H04L 29/08
G06F 16/78

Abstract:

A method for categorizing music based on a sample set of RTP scores (rhythm, texture and pitch) for predetermined pieces of music. Some RTP scores correspond to human-determined RTP scores. Each RTP score corresponds to a category among categories. Unless an unknown piece of music was previously RTP scored based on a unique identification, low-level data is extracted from the unknown piece and analyzed to identify RTP scores based on the sample set. The identified RTP scores are then used to categorize each piece of unknown music and playlists may be created based on the categories. Each RTP score corresponds to an intensity level within the corresponding category, which may also be used in creating playlists. The low-level data may be converted to mel-frequency cepstrum coefficient (MFCC) data that is input into a trained neural network to identify the RTP scores.

US Patent:

20180139268, May 17, 2018

Filed:

Jan 11, 2018

Appl. No.:

15/868902

Inventors:

- MERCER ISLAND WA, US
Skyler Fuzell-Casey - Portland OR, US
Timothy D. Casey - Mercer Island WA, US

International Classification:

H04L 29/08
G06F 17/30

Abstract:

A content selection system and method for identifying and organizing moods in content using objectively measured scores for rhythm, texture and pitch (RTP) and clustered into six mood classifications based on an objective analysis of the measured scores. Digitized representations of the content may also be identified and organized based on the content's frequency data, three-dimensional shapes derived from the digitized representations, and colors derived from the frequency data. Each piece of content may be identified by at least a mood shape, but may also be identified by a mood color and/or a mood based on the clustered RTP scores and/or the digitized representation. Users of the selection system may be able to view the moods identified in the different manners, or combinations of two or three mood identifying manners and select and organize content based on the identified moods.

US Patent:

20150220633, Aug 6, 2015

Filed:

Mar 27, 2015

Appl. No.:

14/671979

Inventors:

- Mercer Island WA, US
Skyler Fuzell-Casey - Portland OR, US
Donald Ryan - Auburn AL, US
Timothy D. Casey - Mercer Island WA, US

International Classification:

G06F 17/30

Abstract:

A content selection system and method for identifying and organizing moods in content using objectively measured scores for rhythm, texture and pitch (RTP) and clustered into six mood classifications based on an objective analysis of the measured scores. Digitized representations of the content may also be identified and organized based on the content's frequency data, three-dimensional shapes derived from the digitized representations, and colors derived from the frequency data. Each piece of content may be identified by at least a mood shape, but may also be identified by a mood color and/or a mood based on the clustered RTP scores and/or the digitized representation. Users of the selection system may be able to view the moods identified in the different manners, or combinations of two or three mood identifying manners and select and organize content based on the identified moods.

US Patent:

20150205864, Jul 23, 2015

Filed:

Mar 27, 2015

Appl. No.:

14/671973

Inventors:

- Mercer Island WA, US
Skyler Fuzell-Casey - Portland OR, US
Timothy D. Casey - Mercer Island WA, US

International Classification:

G06F 17/30
G10L 19/018
G06T 17/20

Abstract:

A content selection system and method for identifying and organizing moods in content using objectively measured scores for rhythm, texture and pitch (RTP) and clustered into six mood classifications based on an objective analysis of the measured scores. Digitized representations of the content may also be identified and organized based on the content's frequency data, three-dimensional shapes derived from the digitized representations, and colors derived from the frequency data. Each piece of content may be identified by at least a mood shape, but may also be identified by a mood color and/or a mood based on the clustered RTP scores and/or the digitized representation. Users of the selection system may be able to view the moods identified in the different manners, or combinations of two or three mood identifying manners and select and organize content based on the identified moods.