Kristen K Conley

US Patent:

20190278235, Sep 12, 2019

Filed:

May 24, 2019

Appl. No.:

16/422251

Inventors:

- Armonk NY, US
Natalie N. BROOKS POWELL - Bolingbrook IL, US
Kristen N. CONLEY - Kieler WI, US
Martin G. KEEN - Cary NC, US

International Classification:

G05B 13/02
G05B 23/02
G05B 19/042

Abstract:

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining an input including an image of a plant, identifying a species of the plant by use of visual recognition of the image. The image is analyzed for symptoms and candidate diagnoses are selected from a diagnostic repository according to the symptoms. With respective candidate diagnoses, a confidence score and a treatment regimen are associated. According to a treatment mode, the candidate diagnoses and treatment regimen are delivered.

US Patent:

20190215772, Jul 11, 2019

Filed:

Jan 3, 2019

Appl. No.:

16/238936

Inventors:

- Armonk NY, US
Natalie Brooks Powell - Bolingbrook IL, US
Kristen Conley - Kieler WI, US
Martin G. Keen - Cary NC, US

International Classification:

H04W 52/02
H04L 12/823
H04W 28/02
G06F 1/3212

Abstract:

A cognitive assistant for mobile devices in low power mode. A first signal may be received from a mobile device via a communication network, the first signal indicating that the mobile device entered low power mode. Responsive to receiving the first signal, communications from a plurality of servers directed to the mobile device may be registered to be rerouted to another device. Communications' content may be analyzed and the communications assigned weights. A selected set of communications that are assigned weights exceeding a threshold value is transmitted to the mobile device in low power mode.

US Patent:

20180373207, Dec 27, 2018

Filed:

Jun 29, 2018

Appl. No.:

16/023495

Inventors:

- Armonk NY, US
Natalie N. BROOKS POWELL - Bolingbrook IL, US
Kristen N. CONLEY - Kieler WI, US
Martin G. KEEN - Cary NC, US

International Classification:

G05B 13/02
G05B 23/02

Abstract:

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining an input including an image of a plant, identifying a species of the plant by use of visual recognition of the image. The image is analyzed for symptoms and candidate diagnoses are selected from a diagnostic repository according to the symptoms. With respective candidate diagnoses, a confidence score and a treatment regimen are associated. According to a treatment mode, the candidate diagnoses and treatment regimen are delivered.

US Patent:

20180374371, Dec 27, 2018

Filed:

Jun 27, 2017

Appl. No.:

15/633902

Inventors:

- Armonk NY, US
Natalie N. Brooks Powell - Bolingbrook IL, US
Kristen N. Conley - Kieler WI, US
Martin G. Keen - Cary NC, US

International Classification:

G09B 5/00
G09B 7/06

Abstract:

Learning activities for a particular topic are identified according to a user profile. The learning activities are identified from resources such as advertised local events, technical publications, social network postings, and related websites. The user profile includes information for selecting a learning activity, such as learning preferences of the user, level of skill in the particular topic, and curriculum in which the user participates.

US Patent:

20180374372, Dec 27, 2018

Filed:

Dec 15, 2017

Appl. No.:

15/843163

Inventors:

- Armonk NY, US
Natalie N. Brooks Powell - Bolingbrook IL, US
Kristen N. Conley - Kieler WI, US
Martin G. Keen - Cary NC, US

International Classification:

G09B 5/00
G09B 7/06
G06F 17/30

Abstract:

Learning activities for a particular topic are identified according to a user profile. The learning activities are identified from resources such as advertised local events, technical publications, social network postings, and related websites. The user profile includes information for selecting a learning activity, such as learning preferences of the user, level of skill in the particular topic, and curriculum in which the user participates.

US Patent:

20180374373, Dec 27, 2018

Filed:

Mar 2, 2018

Appl. No.:

15/910228

Inventors:

- Armonk NY, US
Natalie N. Brooks Powell - Bolingbrook IL, US
Kristen N. Conley - Kieler WI, US
Martin G. Keen - Cary NC, US

International Classification:

G09B 5/00
G09B 7/06
G06F 17/30

Abstract:

Learning activities for a particular topic are identified according to a user profile. The learning activities are identified from resources such as advertised local events, technical publications, social network postings, and related websites. The user profile includes information for selecting a learning activity, such as learning preferences of the user, level of skill in the particular topic, and curriculum in which the user participates.

US Patent:

20180324490, Nov 8, 2018

Filed:

May 2, 2017

Appl. No.:

15/584102

Inventors:

- Armonk NY, US
Natalie N. Brooks Powell - Bolingbrook IL, US
Kristen N. Conley - Kieler WI, US
Martin G. Keen - Cary NC, US

International Classification:

H04N 21/442
H04N 21/466
H04N 21/4415
H04N 21/414
G06K 9/00

Abstract:

A method for using emotional analysis to recommend streaming media content by a cognitive system in an infrastructure. The cognitive system receives, from at least one of a mobile device and a camera, information of at least one of biometrics, movement, body language, and facial expression of a user. The cognitive system derives a current emotional state of the user, based on the information of the at least one of the biometrics, the movement, the body language, and the facial expression. The cognitive system matches the current emotional state to a streaming media category or user's one of previous emotional states stored in a repository in the infrastructure. The cognitive system sends to a streaming media service a recommendation on streaming media content to be consumed by the user, wherein the recommendation is based on either the category or the user's one of previous emotional states.

US Patent:

20180324491, Nov 8, 2018

Filed:

Dec 13, 2017

Appl. No.:

15/840406

Inventors:

- Armonk NY, US
Natalie N. Brooks Powell - Bolingbrook IL, US
Kristen N. Conley - Kieler WI, US
Martin G. Keen - Cary NC, US

International Classification:

H04N 21/442
G06K 9/00
H04N 21/4415
H04N 21/466
H04N 21/414

Abstract:

A computer program product and a computer system for using emotional analysis to recommend streaming media content by a cognitive system in an infrastructure. The cognitive system receives, from at least one of a mobile device and a camera, information of at least one of biometrics, movement, body language, and facial expression of a user. The cognitive system derives a current emotional state of the user, based on the information of the at least one of the biometrics, the movement, the body language, and the facial expression. The cognitive system matches the current emotional state to user's one of previous emotional states stored in a repository in the infrastructure. The cognitive system sends to a streaming media service a recommendation on streaming media content to be consumed by the user, based on streaming media content that has been consumed by the user in the one of the previous emotional states.