Daniel S Austin

US Patent:

20160249178, Aug 25, 2016

Filed:

Feb 19, 2016

Appl. No.:

15/048739

Inventors:

Daniel Austin - Portland OR, US
Jeffrey Kaye - Portland OR, US
Tamara Hayes - Beaverton OR, US
Robin M. Cross - Corvallis OR, US

International Classification:

H04W 4/02
H04W 4/04
H04L 29/08

Abstract:

Computer implemented methods of identifying in-dwelling mobility patterns of a subject are disclosed. The methods involve collecting information from a plurality of sensors in the dwelling of the subject. Contextual variables associated with the dwelling, the subject, and/or the surroundings of the dwelling are determined. A mobility pattern within the dwelling based upon the data and the contextual variables is calculated using a regression model.

US Patent:

20160171378, Jun 16, 2016

Filed:

Dec 15, 2015

Appl. No.:

14/969122

Inventors:

- PORTLAND OR, US
Daniel Austin - Portland OR, US
Jeffrey Kaye - Portland OR, US
Misha Pavel - Portland OR, US
Tamara Hayes - Portland OR, US

Assignee:

OREGON HEALTH & SCIENCE UNIVERSITY - PORTLAND OR

International Classification:

G06N 5/04
G06N 99/00
G06N 7/00
G06F 17/30

Abstract:

Systems and methods for determining time a subject spends outside of their home based on signals received from unobtrusive sensors in the home are disclosed. In one example approach, a method for determining time a subject spends outside of their home comprises receiving sensor firing data for a duration from sensors in the home, dividing the duration into epochs, extracting features from the sensor firing data received during the epoch, and classifying each epoch as out-of-home or in-home based on the features extracted from the sensor firing data during the epoch.

US Patent:

20150193596, Jul 9, 2015

Filed:

Dec 23, 2014

Appl. No.:

14/581841

Inventors:

- Portland OR, US
Daniel Austin - Portland OR, US
Hiroko Dodge - Portland OR, US
Tamara Hayes - Portland OR, US

International Classification:

G06F 19/00

Abstract:

A system and method for conducting a clinical trial of a medical treatment of human patients. The system uses an array of sensors in the patient's home for substantially continuously monitoring one or more objective functions of the patient. The monitored objective functions of the patient are compared against a baseline set of data for the monitored objective functions for the patient or a set of patients. The comparison includes detecting a trend of deviation between the one or more monitored objective functions of the patient and the baseline set of data. The trend of deviation can be correlated with an application or nonapplication of the medical treatment to the patient.