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:
Jan. 03, 2023
Filed:
Jan. 22, 2019
University of Virginia Patent Foundation, Charlottesville, VA (US);
Omar Uribe, Sterling, VA (US);
Mark Mcdonald, Charlottesville, VA (US);
Andrew M. Southerland, Charlottesville, VA (US);
Gustavo Rohde, Crozet, VA (US);
Yan Zhuang, Charlottesville, VA (US);
Omar Uribe, Sterling, VA (US);
Mark McDonald, Charlottesville, VA (US);
Andrew M. Southerland, Charlottesville, VA (US);
Gustavo Rohde, Crozet, VA (US);
Yan Zhuang, Charlottesville, VA (US);
University of Virginia Patent Foundation, Charlottesville, VA (US);
Abstract
The disclosed embodiments provide systems and methods for predicting presence of one or more neurological deficits. The system may include a microphone, a camera, one or more memory devices storing instructions, and one or more processors configured to execute the instructions to extract audio information including a period density entropy coefficient and a mel frequency cepstral coefficient from an audio feed received from the microphone. Additionally, the instructions may cause the processor to determine position and depth information of eye movement from a video feed received from the camera and detect features of interest including facial landmarks, spatial orientation of limbs, and positional information of limb movements from the video feed. The one or more processors may further extract the features of interest from the video feed and process the extracted features of interest by aligning the extracted features of interest to a common reference.