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增强式运动分类性能,采用带有变压器网络模型的封闭长期短期存储器

Xinyao Hu1, Wenyue Zhang1, Haopeng Ou1

  • 1Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China.

Sports biomechanics
|February 19, 2024
PubMed
概括

这项研究引入了一种具有变压器网络 (GLTN) 模型的新型封闭的长期短期记忆,用于准确的体重坐运动分类. GLTN模型有效地识别了异常的腰形式,提高了体育训练的安全性和性能.

关键词:
身体重量腰运动深度学习是一种深度学习.运动分类,运动分类.

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