Daniel V Flynn

US Patent:

20120330376, Dec 27, 2012

Filed:

Jun 27, 2011

Appl. No.:

13/169460

Inventors:

Daniel Vincent Flynn - Charlottesville VA, US
Gary Alan Owings - Phoenix MD, US

Assignee:

Equine OrthoCare, LLC - Phoenix MD

International Classification:

A61D 99/00
A61N 1/36

US Classification:

607 52

Abstract:

An electrical stimulation system for providing non-invasive therapeutic stimulation to a large animal includes a surcingle for placement around a girth of the large animal. The surcingle includes a non-stretchable first element and a stretchable second element. Foam wedges are disposed on the first element for flanking a spine of the large animal during stimulation. A control module with a signal generator is coupleable to the first element. A treatment electrode is disposed on a lead that is electrically coupleable to the control module. The treatment electrode has a conductive inner surface for disposing over skin of the large animal at a target stimulation location. The treatment electrode transmits to the target stimulation location electrical signals received from the signal generator. A return electrode disposed on the first element is electrically coupled to the control module and receives electrical signals output from the treatment electrode.

US Patent:

20210390513, Dec 16, 2021

Filed:

Aug 30, 2021

Appl. No.:

17/460894

Inventors:

- Atlanta GA, US
Andrew Vishnyakov - Frisco TX, US
Daniel Flynn - Plano TX, US
Anna Kay Rice - Dallas TX, US

Assignee:

AT&T Intellectual Property I, L.P. - Atlanta GA

International Classification:

G06Q 10/10
G06N 20/20
G06Q 10/06
G06F 40/289

Abstract:

A method that tracks a gaze of a specific user as the user reads displayed electronic document to determine pauses in reading greater than a specified period of time. Objects on the displayed document are correlated to the pauses. Features are identified based on the objects and textual analysis of the electronic document. A descriptor is obtained from the user defining each of the identified features, each having a value of a relative importance or applicability. An overall value is obtained from the user indicating an overall applicability of the document with respect to specific requirements of the user, and a pre-trained, baseline machine learning model, the identified features, the descriptor for each of the identified features, the value for each of the identified features, and the overall value for each of the displayed plurality of electronic documents are combined as training data for the machine learning model.

US Patent:

20200184423, Jun 11, 2020

Filed:

Dec 6, 2018

Appl. No.:

16/211631

Inventors:

- Atlanta GA, US
Andrew Vishnyakov - Frisco TX, US
Daniel Flynn - Plano TX, US
Anna Kay Rice - Dallas TX, US

International Classification:

G06Q 10/10
G06Q 10/06
G06F 17/27
G06N 20/20

Abstract:

A method for providing training data for a machine learning model includes: monitoring a specific user as the specific user reads electronic documents on a display to determine indications of pauses in reading for greater than a specified period of time; correlating objects on each of the displayed plurality of electronic documents to the pauses in reading; identifying features for the machine learning model based on the objects and textual analysis of each of the plurality of electronic documents; presenting information related to each identified feature to the specific user; obtaining from the specific user a descriptor defining each of the identified features and a value for each of the identified features indicating a relative importance or applicability of each of the identified features; and associating obtained descriptors and values with each of the identified features.