Method and system for identifying biometric characteristics using machine learning techniques
US10503970B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 11, 2017 |
| Grant date | Dec 10, 2019 |
| Priority date | — |
| Expiry date | Feb 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/178
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.