Method and system for activity classification
US11853887B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 9, 2022 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Nov 9, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08B21/0446
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method and system for activity classification. A pressure sensor receives input data resulting from physical activity of a subject performing an activity. The input data includes pressure data from at least one pressure sensor, and may include other data acquired through other types of sensors. A deep learning neural network is applied to the input data for identifying the activity. The neural network is trained with reference to training data from a training database. The training data may include empirical data from a database of previous data of corresponding activities, synthesized data prepared from the empirical data or simulated data. The training data may include data from physical activity of the subject being monitored by the system. Different aspects of the neural network may be trained with reference to the training data, and some aspects may be locked or opened depending on the application and the circumstances.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.