Hui Mei Wu

US Patent:

20210382922, Dec 9, 2021

Filed:

Aug 19, 2021

Appl. No.:

17/406893

Inventors:

- Armonk NY, US
Hui Wu - White Plains NY, US
Rogerio Feris - Hartford CT, US

International Classification:

G06F 16/332
G06F 16/383
G06K 9/62
G06N 3/04
G06F 16/535
G06F 16/53

Abstract:

A method includes receiving input from a client at least partially specifying one or more characteristics, wherein the initial input includes a seed image and a natural language statement describing a desired change to the seed image; predicting one or more attributes of the seed image by operation of a neural network on the seed image; and parsing the natural language statement to identify desired changes to the one or more attributes of the seed image. The method also includes generating an interim target image by changing the one or more attributes of the seed image, according to the parsed natural language statement; selecting a set of images from an image database for output to the client, each of said set of images being determined to at least partially satisfy the one or more changed attributes of the seed image; and displaying the set of images to the client.

US Patent:

20210073252, Mar 11, 2021

Filed:

Oct 17, 2019

Appl. No.:

16/656468

Inventors:

- Armonk NY, US
Hui Wu - White Plains NY, US
Rogerio Feris - Hartford CT, US

International Classification:

G06F 16/332
G06F 16/383
G06N 3/04
G06K 9/62

Abstract:

A method includes: receiving initial input from a client at least partially specifying one or more characteristics sought by the client; selecting a set of images from an image database for output to the client; and determining after each set of images whether an end condition has occurred. The method also includes, until the end condition has occurred: responsive to each set of images output to the client, receiving additional input from the client further specifying the one or more characteristics sought by the client; and responsive to each input received from the client, selecting another set of images for presentation to the client, said set of images being determined to at least partially satisfy the one or more characteristics specified by all input received from the client, said determination being based at least in part on side information for respective images for at least the set of images.

US Patent:

20200401933, Dec 24, 2020

Filed:

Jun 21, 2019

Appl. No.:

16/448176

Inventors:

- Armonk NY, US
Aldis Sipolins - New York NY, US
Patrick Watson - Montrose NY, US
Ravi Tejwani - Cambridge MA, US
Marco Cavallo - New York NY, US
Hui Wu - White Plains NY, US

International Classification:

G06N 20/00
G06F 3/01
G16C 60/00

Abstract:

A system includes a virtual reality system configured to enable a user to interact with a virtual environment, a plurality of biofeedback sensors configured to monitor a user, and a computer system including a virtual reality module configured to generate at least a view of the virtual environment, a biofeedback module configured to fuse output of the plurality of biofeedback sensors with a plurality of events within the virtual environment, a training module configured to generate a model of user behavior, wherein the training module executed by the computer system enables the computer system to make a prediction of a user response of the user based on a corpus of biofeedback data, and an alert module configured to generate at least one alert to the user via the virtual reality system based on the user response predicted by the computer system.

US Patent:

20200285304, Sep 10, 2020

Filed:

Mar 9, 2019

Appl. No.:

16/297644

Inventors:

- Armonk NY, US
Aldis Sipolins - New York NY, US
Jenna Reinen - Greenwich CT, US
Ravi Tejwani - Cambridge MA, US
Hui Wu - White Plains NY, US

International Classification:

G06F 3/01

Abstract:

A virtual reality (VR) system for VR desk application that allows a user to move in a VR environment while sitting in front of a working desk is provided. The VR system receives sensor data from a mobile device. The VR system generates a set of sitting motion data by interpreting the received sensor data as a motion of a limb of a person in a sitting posture. The VR system maps the set of sitting motion data into a set of movements in the VR environment. The VR system renders the VR environment and presents the rendered VR environment.

US Patent:

20200160744, May 21, 2020

Filed:

Nov 21, 2018

Appl. No.:

16/197874

Inventors:

- Armonk NY, US
Marco Cavallo - New York NY, US
Ravi Tejwani - Cambridge MA, US
Jenna Reinen - Greenwich CT, US
Hui Wu - White Plains NY, US

International Classification:

G09B 17/04
G06F 3/01
G09B 17/00

Abstract:

A method includes detecting an eye movement of a reader during a reading of presented text; determining, based on whether an eye movement is detected, whether the reader is looking at the presented text; pausing a presentation of the presented text if it is determined that the reader is not looking at the presented text; and resuming, if the presentation of the text is paused, the presentation of the presented text.

US Patent:

20200034606, Jan 30, 2020

Filed:

Jul 28, 2018

Appl. No.:

16/048230

Inventors:

- Armonk NY, US
Jenna Reinen - Greenwich CT, US
Hui Wu - White Plains NY, US
Ravi Tejwani - White Plains NY, US
Marco Cavallo - New York NY, US

International Classification:

G06K 9/00
G06F 3/01
G06F 15/18
G06T 19/00
G09B 19/00

Abstract:

A facial expression feedback system for providing real-time feedback on how closely a user matches his or her facial expression to a target expression is presented. The facial expression feedback system receives sensor data captured by a set of sensors. The facial expression feedback system evaluates the captured sensor data to generate a set of confidence scores with respect to a target facial expression. The system presents the feedback by modifying a multimedia presentation based on the generated set of confidence scores.

US Patent:

20200004326, Jan 2, 2020

Filed:

Jun 29, 2018

Appl. No.:

16/023427

Inventors:

- Armonk NY, US
JENNA REINEN - GREENWICH CT, US
RAVI TEJWANI - WHITE PLAINS NY, US
MARCO CAVALLO - NEW YORK NY, US
HUI WU - WHITE PLAINS NY, US

International Classification:

G06F 3/01
G06K 9/00
G06T 7/246
G06T 19/00
G06T 11/00
G06T 7/90

Abstract:

Augmented reality speed reading is provided by detecting a reader's changing gaze direction; detecting movements of the reader's eye; and between movements of the reader's eye, displaying text at the reader's gaze direction. An exemplary apparatus includes an eye illuminator that delivers light to a reader's eye; an eyeward camera that generates digital images of the reader's eye including reflected light from the eye illuminator; a display; and a processor that is connected in communication with the eyeward camera and the display. The processor implements an eye tracking module that receives the digital images from the eyeward camera and detects the reader's gaze direction, and the processor implements a text display module that controls the display to present text at the reader's gaze direction.

US Patent:

20190343465, Nov 14, 2019

Filed:

May 8, 2018

Appl. No.:

15/974178

Inventors:

- Armonk NY, US
Jenna Reinen - Greenwich CT, US
Hui Wu - White Plains NY, US
Ravi Tejwani - Cambridge MA, US
Marco Cavallo - New York NY, US

International Classification:

A61B 5/00
G06N 99/00
G06F 3/01
A61B 5/0205
A61B 5/0402
A61B 5/11

Abstract:

Techniques that facilitate condition detection in a virtual reality system and/or an augmented reality system are provided. In one example, a system includes a virtual reality component and an anomaly detection component. The virtual reality component collects motion data and biometric data from a virtual reality device. The motion data is indicative of motion information associated with one or more accelerometer sensors of the virtual reality device. The biometric data is indicative of biometric information associated with one or more biometric sensors of the virtual reality device. The anomaly detection component integrates the motion data and the biometric data into a machine learning model to generate anomaly detection data for the virtual reality device.