Activity recognition method of LRF large-kernel attention convolution network based on large receptive field
US11989935B1 · kind B1 · utility
0Cited by
0References
6Claims
0Family size
Assignees
Inventors
Key dates
| Filing date | Dec 21, 2023 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Dec 21, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D30/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure relates to an activity recognition method of a large receptive field (LRF) large-kernel attention convolution network based on a large receptive field, the method includes the following steps: collecting an action signal, carrying out a preprocessing and a data partition on the action signal to obtain a data set; and training an LRF large-kernel attention convolution network model based on the data set, and introducing a trained LRF large-kernel attention convolution network model into a mobile wearable recognition device for human posture recognition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.