Patents

US 12592097 B2: Real-time, fine-resolution human intra-gait pattern recognition based on deep learning models

Granted
2026-03-31
Filed
2022-05-20 application 17749754
Type
Utility · 4 claims
Elsewhere
Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗

Abstract

Described herein are methods, systems and computer-program products for intra- and inter-gait classification for both symmetric and asymmetric gait patterns using images.

Source: PTBLXML, file of 2026-03-31 (ipgb20260331.xml).

Assignees

AssigneeTypePlaceAlso on furp.orgSource
The Board of Trustees of The University of Alabama 193 patentsUS company or organizationTuscaloosa, ALThe University of Alabama College or university FUZZY medium confidence: same name (governing-board words and legal endings aside) and statePTBLXML, file of 2026-03-31

Inventors

InventorPlacePatentsPerson pageSource
Fei HuTuscaloosa, ALPTBLXML, file of 2026-03-31
Yu GanTuscaloosa, AL11PTBLXML, file of 2026-03-31
Shengting CaoNorthport, AL2PTBLXML, file of 2026-03-31
Xuefeng WangTuscaloosa, AL112PTBLXML, file of 2026-03-31

CPC categories

SubclassCategoryFirst groupSource
G06VImage or video recognition or understandingG06V40/25PTBLXML, file of 2026-03-31
G06NComputing arrangements based on specific computational modelsG06N3/08PTBLXML, file of 2026-03-31

Cooperative Patent Classification, as currently assigned (one row per subclass).

Assignments and security interests

No recorded assignments or security interests on file for this patent.

USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.