Adaptive window size segmentation for activity recognition
US10824955B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Apr 6, 2016 |
| Grant date | Nov 3, 2020 |
| Priority date | — |
| Expiry date | May 28, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, computerized apparatus and computer program product for activity recognition using adaptive window size segmentation of sensor data stream. A data stream generated by one or more sensors is obtained. A frequency analysis of the data in a first segment of the data stream is performed. A size of a second segment is determined based on the frequency analysis. Activity recognition is performed for the second segment by extracting one or more features of the data therein and applying a machine learning process on the extracted features to obtain a classification of the data into an activity class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.