TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor [version 1; peer review: 2 approved]
Background: Intelligent monitoring of human action in production is an important step to help standardize production processes and construct a digital twin shop-floor rapidly. Human action has a significant impact on the production safety and efficiency of a shop-floor, however, because of the high...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2021-12-01
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| Series: | Digital Twin |
| Subjects: | |
| Online Access: | https://digitaltwin1.org/articles/1-10/v1 |
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