Auxiliary diagnosis method and system for Parkinson's disease based on static and dynamic features of facial expressions
US12380732B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2025 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Mar 27, 2045 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An auxiliary diagnosis method for Parkinson's disease (PD) based on static and dynamic features of facial expressions is provided. Video data of various facial expressions performed by a to-be-tested patient is acquired and pre-processed to extract a plurality of optimal facial expression images corresponding to the various facial expressions. A similarity discrimination is performed on a synthesized happy facial expression image of the to-be-tested patient in a healthy state and an extracted happy facial expression image to obtain similarity features. Distances between multiple facial key points in the various facial expression images are calculated to obtain multiple key features, which are spliced with the plurality of key features to form static features. Coordinate change degrees of multiple facial key points of eyelids and mouth are calculated to obtain dynamic features. A classification prediction result of PD is output based on the spliced features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.