Surveillance system and method for predicting patient falls using motion feature patterns
US10276019B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2018 |
| Grant date | Apr 30, 2019 |
| Priority date | — |
| Expiry date | Jul 24, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30232
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.