Dorion B Liston from 13036 Pine St, Big Basin, CA 95006, age 47

Resumes

Senior Computer Vision Researcher

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Location:

Boulder Creek, CA

Industry:

Research

Work:

NASA Ames Research Center since Aug 2005
Research Associate
San Jose State University 2006 - 2008
Lecturer

Education:

University of California, San Diego 1999 - 2005
Ph.D., Neuroscience Marshall University 1995 - 1999
B.S., Chemistry

Skills:

Neuroscience
Matlab
Programming
Statistics
Science
Research
Simulations
Physiology
Python
Data Analysis
Research Design
Experimentation
Spss
Human Factors
C
Scientific Writing
Human Computer Interaction
Teaching
Higher Education
Machine Learning

Dorion Liston

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Research Associate At Nasa Ames Research Center

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Position:

Research Associate at NASA Ames Research Center

Location:

San Francisco Bay Area

Industry:

Research

Work:

NASA Ames Research Center since Aug 2005
Research Associate
San Jose State University 2006 - 2008
Lecturer

Education:

University of California, San Diego 1999 - 2005
Ph.D., Neuroscience Marshall University 1995 - 1999
B.S., Chemistry

Honor & Awards:

NSF Graduate Fellowship Society of Yeager Scholars Alpha Chi Sigma Scholar

Us Patents

Augmented And Virtual Reality Display Systems For Oculometric Assessments
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US Patent:

20210240261, Aug 5, 2021
Filed:

Jan 28, 2021
Appl. No.:

17/161511
Inventors:

- Plantation FL, US
Dorion Bryce Liston - Boulder Creek CA, US
International Classification:

G06F 3/01
G02B 27/01
Abstract:

Example techniques are disclosed for increasing the sensitivity of an augmented or virtual reality display system to collecting eye-tracking data for detecting physiological conditions, such as neural processes. An example method includes accessing eye-tracking information associated with a control population and an experimental population, the eye-tracking information reflecting, for each user of the control population and the experimental population, eye-tracking metrics associated with the user; scaling the eye-tracking information based on the eye-tracking information associated with the control population; and determining a sensitivity measure reflecting a distance measure between the control population and experimental population. The sensitivity measure may be utilized to modify physical or operational parameters for the display system and/or the protocol for performing a test.