Systems and methods for predictive environmental fall risk identification using dynamic input
US12033484B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 31, 2021 |
| Grant date | Jul 9, 2024 |
| Priority date | — |
| Expiry date | Aug 31, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various exemplary embodiments the present technology is directed to methods and systems for predictive environmental fall risk identification for a user. A device may receive dynamic observations of an environmental map using a sensor. A device may determine the environmental map. A device may collect a set of risk factors for the environmental map using the sensor. A device may assess the set of risk factors for the environmental map for the user. A device may create a training set comprising the collected set of risk factors. A device may train an artificial neural network using the training set. A device may predict a fall risk of the user using the artificial neural network. A device may send an alert to the user based on the dynamic observations of the environmental map and the fall risk of the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.