先锋派
发表于 2025-3-27 00:48:27
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assent
发表于 2025-3-27 03:38:17
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打算
发表于 2025-3-27 05:33:23
Activity Recognition from Skeleton and Acceleration Data Using CNN and GCN,lize the advantages of multi-modal data, we propose a joint training CNN model that combines the acceleration and skeleton data together. Finally, the proposed CNN model achieves an average accuracy of 82.8% for macro-activity recognition on Cooking Activity Dataset.
ACTIN
发表于 2025-3-27 11:33:10
Identification of Cooking Preparation Using Motion Capture Data: A Submission to the Cooking Activie recipe to refine the original micro-activity predictions. After the post-processing step using a Hidden Markov Model, we achieved the competition score of 95% on the training data with cross-validation.
一致性
发表于 2025-3-27 15:51:46
Book 2021s) but their combined recognition is critical for analysis like the challenge proposed in this book. It has 10 chapters from 13 institutes and 8 countries (Japan, USA, Switzerland, France, Slovenia, China, Bangladesh, and Columbia)..
松果
发表于 2025-3-27 21:20:24
978-981-15-8271-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
bourgeois
发表于 2025-3-28 01:23:07
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高调
发表于 2025-3-28 02:54:02
https://doi.org/10.1007/978-981-15-8269-1Activity Recognition; Cooking Challenge; Sensor; Computer Vision; Machine Learning; Deep Learning; Healthc
Hot-Flash
发表于 2025-3-28 08:21:52
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Nerve-Block
发表于 2025-3-28 11:24:44
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