Comprehensive fatigue assessment in deep-sea enclosed cabins using optimized multi-dimensional weighting

Personnel operating in deep-sea enclosed cabins not only experience accelerated physical fatigue but also suffer psychological and cognitive challenges caused by extreme isolation and high pressure. To address these unique stressors, this study introduces a comprehensive assessment method for operational fatigue. Initially, a multi-dimensional evaluation index system was constructed based on physiological, psychological, subjective, and performance dimensions. Corresponding data (EMG, ECG, NASA-TLX, Borg CR-10, and PVT) were collected for analysis. Subsequently, a combination weighting method optimized for minimal deviation was employed to determine the weights of the indicators. Finally, SVM were used to classify and predict the evaluation results obtained from 12 different fatigue assessment methods. The findings indicate that the comprehensive fatigue evaluation results are significantly correlated with the overall subjective fatigue ratings, with both linear fitting curves demonstrating high consistency. The method provides practical thresholds for fatigue risk management, recommending that continuous operation time should not exceeding 30 min for the tasks tested in this study. The proposed method achieved an accuracy rate of 93.7984 % and an AUC of 0.9401, outperforming other methods. These findings provide important support for the development of data-driven fatigue monitoring and prediction strategies for operations in deep-sea enclosed cabins.