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Updated: Feb 7, 2026

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
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W-CogLoadNet:基于深度学习驱动的人体姿势估计的舞蹈动作认知负载评估框架

Fei Zhao1

  • 1Shenyang Conservatory of Music, Dance Academy, Shenyang, Liaoning, China.

Frontiers in psychology
|February 6, 2026
PubMed
概括

本研究介绍了T2W-CogLoadNet用于3D舞蹈姿势估计和认知负载评估,其性能优于现有的方法. 该模型通过准确分析运动和认知状态来增强舞蹈训练和康复.

关键词:
变压器变压器变压器认知负载评估认知负载评估舞蹈 舞蹈 舞蹈 舞蹈 舞蹈深度学习是一种深度学习.人类姿势估计估计运动科学运动科学

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