Test of pose recognition metrics for different models.

<p>Test of pose recognition metrics for different models.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Menglu Li (4458208) (author)
مؤلفون آخرون:	Changfeng Ning (22766211) (author)
منشور في:	2025
الموضوعات:	Molecular Biology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified reduce sports injury global average pooling 78 &# 8201 highest f1 value 9 %, 2 activation residual network recognition error compared improve training effect human swimming posture shortest recognition time 7 %, 4 highest recognition accuracy new model proposed swimming posture recognition time recognition accuracy highest recall 95 %, network structure movement posture recognition model accurate recognition underwater environment study takes outcomes revealed model basis key technology high standard full pre feature extraction effective support data processing computational efficiency batch normalization 87 %.
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