The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 17, 2019
Filed:
Sep. 11, 2015
Emory University, Atlanta, GA (US);
Georgia Tech Research Corporation, Atlanta, GA (US);
Russell K. Gore, Atlanta, GA (US);
Michelle LaPlaca, Atlanta, GA (US);
David W. Wright, Atlanta, GA (US);
Tamara Espinoza, Atlanta, GA (US);
Shean Phelps, Atlanta, GA (US);
Brian Liu, Atlanta, GA (US);
Stephen Smith, Atlanta, GA (US);
Nicole Kosoris, Atlanta, GA (US);
Alessio Medda, Atlanta, GA (US);
Courtney Crooks, Atlanta, GA (US);
Emory University, Atlanta, GA (US);
Georgia Tech Research Corporation, Atlanta, GA (US);
Abstract
Methods and systems relate to determining sensory motor performance based on user non-postural movements within a generated dynamic virtual environment. The generated environment requires users to: (i) utilize primary sensor inputs (e.g., vision, vestibular sensation and somatosensation); (ii) assess the dynamic virtual environment; and (iii) integrate and translate those inputs into movement to control the dynamic virtual environment. The methods may include receiving non-postural user input with respect to a state of one or more attributes of a dynamic virtual environment provided on a user interface for one or more sessions, the one or more attributes including a control object and a target which moves with respect to the control object; determining performance information based on the user input and the state of the one or more attributes for the one or more sessions; and determining sensory motor performance information from the performance information.