Ting Zhang

US Patent:

20220293241, Sep 15, 2022

Filed:

Feb 10, 2022

Appl. No.:

17/669171

Inventors:

- Menlo Park CA, US
Candace Peacock - Boulder CO, US
Ting Zhang - Lake Jackson TX, US
Matthew Jordan Boring - Pittsburgh PA, US
Thomas Scott Murdison - Seattle WA, US
Yan Xu - Kirkland WA, US
Hrvoje Benko - Seattle WA, US

International Classification:

G16H 20/70
A61B 5/16

Abstract:

The disclosed computer-implemented method may include (1) acquiring, via one or more biosensors, one or more biosignals generated by a user of a computing system, (2) using the one or more biosignals to anticipate a transition to or from a cognitive state of the user, and (3) providing a signal indicating the transition to or from the cognitive state of the user to an intelligent-facilitation subsystem adapted to perform one or more assistive actions to reduce the user's cognitive load. Various other methods, systems, and computer-readable media are also disclosed.

US Patent:

20220248250, Aug 4, 2022

Filed:

Apr 18, 2022

Appl. No.:

17/723180

Inventors:

- Bellevue WA, US
Ting Zhang - Bellevue WA, US
Vikas Ranjan - Bellevue WA, US

International Classification:

H04W 24/10
H04L 41/5009
G06N 20/00
H04B 17/318
H04W 4/24

Abstract:

Presented here is a method to predict whether a user of a wireless telecommunication network will report a problem or issue associated with the wireless telecommunication network. A processor can obtain multiple key performance indicators (KPIs) describing a user experience with the wireless telecommunication network. The processor can calculate at least a daily value of each KPI according to a rule specific to the KPI. The processor can create an image representing a value of each KPI, where a first axis of the image identifies the KPI, and where a second axis of the image represents the daily value of the KPI. The processor can predict whether the user of the wireless telecommunication network will report the problem by providing the image to a machine learning model and receiving a prediction from the machine learning model whether the user of the wireless telecommunication network will report the problem.

US Patent:

20220236795, Jul 28, 2022

Filed:

Jan 11, 2022

Appl. No.:

17/573393

Inventors:

- Menlo Park CA, US
Ting Zhang - Lake Jackson TX, US
Thomas Scott Murdison - Seattle WA, US
Candace Peacock - Boulder CO, US
Hrvoje Benko - Seattle WA, US

International Classification:

G06F 3/01
G06F 3/0482
G06F 3/04815
G06F 3/033

Abstract:

The disclosed computer-implemented method may include (1) acquiring, via a biosensor, biosignals generated by a user (e.g., biosignals indicative of gaze dynamics), (2) using the biosignals to anticipate an intent of the user to interact with a computing system (e.g., an extended-reality system), and (3) providing an intent-to-interact signal indicating the user's intent to interact to an intelligent-facilitation subsystem. The disclosed computing systems may include (1) a targeting subsystem that enables a user to explicitly target, for interaction, one or more objects, (2) an interaction subsystem that enables the user to interact with, when targeted, one or more of the objects, and (3) an intelligent-facilitation subsystem that targets one or more of the objects on behalf of the user in response to intent-to-interact signals. Various other methods, systems, and computer-readable media are also disclosed.

US Patent:

20230069764, Mar 2, 2023

Filed:

Jul 15, 2022

Appl. No.:

17/866179

Inventors:

- Menlo Park CA, US
Candace Peacock - Boulder CO, US
Benjamin Lafreniere - Toronto, CA
Ting Zhang - Lake Jackson TX, US
Hrvoje Benko - Seattle WA, US
Rawan Alghofaili - Fairfax VA, US
Michael Glueck - Toronto, CA

International Classification:

G06F 3/01
G06F 9/451

Abstract:

A disclosed computer-implemented method may include (1) tracking a gaze of a user as the user interacts with a user interface, (2) determining, based on tracking of the gaze of the user, that a detected user interaction with the user interface represents a false positive input inference by the user interface, and (3) executing at least one remedial action based on determining that the detected user interaction represents the false positive input inference by the user interface. Various other methods, systems, and computer-readable media are also disclosed.

US Patent:

20190104427, Apr 4, 2019

Filed:

Sep 28, 2018

Appl. No.:

16/147309

Inventors:

- Bellevue WA, US
Doris Ho - Bellevue WA, US
Ting Zhang - Bellevue WA, US

International Classification:

H04W 24/08
H04M 3/51
H04M 3/22

Abstract:

Systems and methods are described herein for analyzing the performance of a communications network (e.g., a mobile telecommunications network) using customer-centric and/or subscriber-centric data and information. In some embodiments, the systems and method may determine key performance indicators for a communications network by accessing call detail records from multiple communications network sources, generating a database of one or more customer stats table (CSTs) based on the accessed call records, wherein the CSTs include records for each individual customers of the communications network, and determining one or more key performance indicators (KPIs) for the overall network based on the records stored by the one or more customer stats tables.

US Patent:

20180270346, Sep 20, 2018

Filed:

Mar 17, 2017

Appl. No.:

15/462735

Inventors:

- Bellevue WA, US
Le Roy Munar - Snoqualmie WA, US
Ting Zhang - Bellevue WA, US
Baquer Ali Chabuk Savar - Bellevue WA, US
Muhammad Tawhidur Rahman - Bellevue WA, US

International Classification:

H04M 3/22
H04M 15/00
H04L 29/06

Abstract:

Systems and methods are described herein for determining dropped call rates (DCR) for various communications networks, such as IP Multimedia Networks (IMS), which include Voice over LTE (VoLTE) networks. For example, the systems and methods utilize data (e.g. abnormal cause codes) generated by layers of the IMS networks, such as a Session Initiation Protocol (SIP) layer of the IMS network, when determining dropped call rates for IMS networks.

US Patent:

20180270678, Sep 20, 2018

Filed:

Mar 17, 2017

Appl. No.:

15/462746

Inventors:

- Bellevue WA, US
Doris Ho - Bellevue WA, US
Ting Zhang - Bellevue WA, US

International Classification:

H04W 24/08
H04M 3/22

Abstract:

Systems and methods are described herein for analyzing the performance of a communications network (e.g., a mobile telecommunications network) using customer-centric and/or subscriber-centric data and information. In some embodiments, the systems and method may determine key performance indicators for a communications network by accessing call detail records from multiple communications network sources, generating a database of one or more customer stats table (CSTs) based on the accessed call records, wherein the CSTs include records for each individual customers of the communications network, and determining one or more key performance indicators (KPIs) for the overall network based on the records stored by the one or more customer stats tables.

US Patent:

20170098390, Apr 6, 2017

Filed:

Oct 3, 2016

Appl. No.:

15/284505

Inventors:

- West Lafayette IN, US
Juan P. Wachs - West Lafayette IN, US
Ting Zhang - West Lafayette IN, US
Greg Williams - Lafayette IN, US

Assignee:

Purdue Research Foundation - West Lafayette IN

International Classification:

G09B 21/00
G06K 9/46
G06K 9/62
G06K 9/20

Abstract:

A real-time multimodal image perception system to transform the standard lab blood smear image for persons with BVI to perceive, employing a combination of auditory, haptic, and vibrotactile feedbacks. These sensory feedbacks are used to convey visual information in appropriate perceptual channels, thus creating a palette of multimodal, sensorial information. A Bayesian network is provided to characterize images through two groups of features of interest: primary and peripheral features. A method is provided for optimal matching between primary features and sensory modalities.