Non-parametric modeling apparatus and method for classification, especially of activity state
US8478542B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 6, 2010 |
| Grant date | Jul 2, 2013 |
| Priority date | — |
| Expiry date | Oct 6, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16Z99/00
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The activity state classification method of the present invention employs a kernel-based modeling technique, and more specifically a set of similarity-based models, which have been created using example data, to process an input observation or set of input observations, each comprising a set of sensor readings or “features” derived there from or other data, to predict the activity state of a person from whom the sensor data was obtained. A model is created for each class of activity. The input data is processed by each model and the resulting predictions are combined to yield a final prediction of which state of activity is represented by the input data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.