Diane Joyce Cook

US Patent:

20100063774, Mar 11, 2010

Filed:

Sep 2, 2009

Appl. No.:

12/552998

Inventors:

Diane J. Cook - Pullman WA, US
Parisa Rashidi - Pullman WA, US

Assignee:

WASHINGTON STATE UNIVERSITY - Pullman WA

International Classification:

G06F 17/18

US Classification:

702181, 702179

Abstract:

Several embodiments of systems and methods for adaptive smart environment automation are described herein. In one embodiment, a computer implemented method includes determining a plurality of sequence patterns of data points in a set of input data corresponding to a plurality of sensors in a space. The input data include a plurality of data points corresponding to each of the sensors, and the sequence patterns are at least partially discontinuous. The method also includes generating a plurality of statistical models based on the plurality of sequence patterns, and the individual statistical models corresponding to an activity of a user. The method further includes recognizing the activity of the user based on the statistical models and additional input data from the sensors.

US Patent:

20130006899, Jan 3, 2013

Filed:

Jun 29, 2012

Appl. No.:

13/538882

Inventors:

Diane J. Cook - Pullman WA, US

Assignee:

WSU Research Foundation - Pullman WA

International Classification:

G06F 15/00
G06F 15/18
G06F 17/18

US Classification:

706 12, 702150

Abstract:

A physical environment is equipped with a plurality of non-obtrusive sensors (e.g., motion sensors). As a plurality of residents perform various activities within the physical environment, sensor readings are received from one or more of the sensors. Based on the sensor readings, each of the plurality of residents is identified and locations of each of the plurality of residents are tracked.

US Patent:

20130006906, Jan 3, 2013

Filed:

Jun 29, 2012

Appl. No.:

13/538932

Inventors:

Diane J. Cook - Pullman WA, US

Assignee:

WSU Research Foundation - Pullman WA

International Classification:

G06N 5/02

US Classification:

706 46

Abstract:

Activity templates are generated from one or more existing smart environments (e.g., source spaces) based on sensor data from the one or more existing smart environments that corresponds to known activities. A target activity template is then generated for a new smart environment, e.g., the target space. The source space activity templates are then mapped to the target activity templates to enable recognition of activities based on sensor data received from the target space.

US Patent:

20160314255, Oct 27, 2016

Filed:

Apr 21, 2016

Appl. No.:

15/135390

Inventors:

Diane J. Cook - Pullman WA, US
Maureen E. Edgecombe - Pullman WA, US
Prafulla N. Dawadi - Foster City CA, US

International Classification:

G06F 19/00
G06N 99/00

Abstract:

Methods, systems, and techniques for facilitating cognitive assessment are provided. Example embodiments provide a Cognitive Assessment Facilitator System CAFS, which facilitates the gathering and prediction of cognitive assessment of individuals using machine learning and sensors placed in the home of a resident. These predictive assessments can then be used by a clinician to further diagnose and/or provide health intervention. In one embodiment, the CAFS comprises a sensor input module, a machine learning engine (or algorithm as part of another component), a CAAB tool, and activity curve change engine (activity tools), and a reporting module . These components cooperate to process and transform smart home based sensor data into activity performance features and statistical activity features which are then processing through a machine learning engine to predict clinical cognitive assessment values.