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Aiming at the needs of detecting pose anomalies based on the pose data set of the six-degree of freedom platform, a pose anomaly detection model is developed. Through the improved Transformer model with self-attention mechanism, the parallel processing ability and flexible architecture design of the model are used to significantly improve the ability to process high-dimensional data and learn complex patterns, and then achieve high-accuracy pose anomaly detection.

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Aviation Medicine Emergency Rescue Simulation Platform Pose Anomaly Detection Model

  • 会议论文

  • 发表日期：

    2026年

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  • Zhengping Li,
  • Yuyang Gao,
  • Xiaoxue Li,
  • Yuwen Hao,
  • Lijun Wang

摘要

Aiming at the needs of detecting pose anomalies based on the pose data set of the six-degree of freedom platform, a pose anomaly detection model is developed. Through the improved Transformer model with self-attention mechanism, the parallel processing ability and flexible architecture design of the model are used to significantly improve the ability to process high-dimensional data and learn complex patterns, and then achieve high-accuracy pose anomaly detection.