Activity recognition in motor-manual cross-cutting operations by machine learning on multimodal data
In forest operations, established time-study methods, such as the use of a stopwatch and video recording, have dominated for several years. Advancements in machine learning and innovative data loggers present opportunities to reconsider and enhance these methods. This study utilized a neural network...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | Forest Science and Technology |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21580103.2025.2543281 |
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