Lichuan Liu

US Patent:

20130204617, Aug 8, 2013

Filed:

Mar 15, 2013

Appl. No.:

13/837242

Inventors:

BOARD OF TRUSTEES OF NORTHERN ILLINOIS UNIVERSITY - DeKalb IL, US
Lichuan Liu - Batavia IL, US

Assignee:

BOARD OF TRUSTEES OF NORTHERN ILLINOIS UNIVERSITY - DeKalb IL

International Classification:

H04R 3/00

US Classification:

704233

Abstract:

Systems, apparatuses and methods for integrating adaptive noise cancellation (ANC) with communication features in an enclosure, such as an incubator, bed, and the like. Utilizing one or more error and reference microphones, a controller for a noise cancellation portion reduces noise within a quiet area of the enclosure. Voice communications are provided to allow external voice signals to be transmitted to the enclosure with minimized interference with noise processing. Vocal communications from within the enclosure may be processed to determine certain characteristics/features of the vocal communications. Using these characteristics, certain emotive and/or physiological states may be identified.

US Patent:

20100171657, Jul 8, 2010

Filed:

Jun 12, 2009

Appl. No.:

12/483317

Inventors:

Lichuan Liu - DeKalb IL, US

Assignee:

Northern Illinois University - DeKalb IL

International Classification:

G01S 19/10
G01S 19/45
G01S 19/46
G01S 3/02

US Classification:

34235709, 34235714, 342386, 342463

Abstract:

According to the present invention, there is provided a system and method for wireless sensor networks (WSN) positioning which is cost-effective, scalable, can be easily implemented, and provides excellent performance and accuracy. In the present invention, a few reference nodes with known locations transmit linear frequency modulation continuous waves (FMCW), while sensor nodes receive these waves and calculate the range difference among them based on the time frequency difference arrival (TFDA). The location information of the sensor nodes is obtained through the solving of a set of hyperbolic equations. This technique is cost-efficient, scalable and can be easily implemented.

US Patent:

20170084264, Mar 23, 2017

Filed:

Nov 30, 2016

Appl. No.:

15/365496

Inventors:

- Dekalb IL, US
Lichuan Liu - Batavia IL, US

International Classification:

G10K 11/178
A61G 11/00
H04R 3/12

Abstract:

Systems, apparatuses and methods for integrating adaptive noise cancellation (ANC) with communication features in an enclosure, such as an incubator, bed, and the like. Utilizing one or more error and reference microphones, a controller for a noise cancellation portion reduces noise within a quiet area of the enclosure. Voice communications are provided to allow external voice signals to be transmitted to the enclosure with minimized interference with noise processing. Vocal communications from within the enclosure may be processed to determine certain characteristics/features of the vocal communications. Using these characteristics, certain emotive and/or physiological states may be identified.

US Patent:

20160093281, Mar 31, 2016

Filed:

Dec 10, 2015

Appl. No.:

14/965176

Inventors:

- Dekalb IL, US
Lichuan Liu - Batavia IL, US

International Classification:

G10K 11/178

Abstract:

Systems, apparatuses and methods for integrating adaptive noise cancellation (ANC) with communication features in an enclosure, such as an incubator, bed, and the like. Utilizing one or more error and reference microphones, a controller for a noise cancellation portion reduces noise within a quiet area of the enclosure. Voice communications are provided to allow external voice signals to be transmitted to the enclosure with minimized interference with noise processing. Vocal communications from within the enclosure may be processed to determine certain characteristics/features of the vocal communications. Using these characteristics, certain emotive and/or physiological states may be identified.

US Patent:

20150201309, Jul 16, 2015

Filed:

Mar 25, 2015

Appl. No.:

14/668620

Inventors:

- Dekalb IL, US
Lichuan Liu - Dekalb IL, US

International Classification:

H04W 4/02

Abstract:

A system and method for wireless sensor networks (WSN) positioning that is cost-effective, scalable, can be easily implemented, and provides improved performance and accuracy. A plurality of reference nodes with known locations transmit linear frequency modulation continuous waves (FMCW), while sensor nodes receive these waves and calculate the range difference among them based on the time frequency difference arrival (TFDA). The location information of the sensor nodes is obtained through the solving of a set of hyperbolic equations. Multidimensional scaling may be used or hybrid optimizing algorithm (HOA) processing to combine steepest-descent processing with Taylor series expansion to increase accuracy.