Improving Aerobics Posture Evaluation by Transfer Learning: Humanized Computational Application of BERT-PTA Domain Adaptive Methods
Abstract Due to the influence of datasets, traditional pose evaluation methods have insufficient generalization ability, high computational resource requirements, and low efficiency. To address this issue, this article applied transfer learning into the field of aerobics posture evaluation and achie...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-025-00867-8 |
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