A framework that imputes missing high-fidelity sensor channels (EEG, ECG) from shared wearable signals improves fatigue detection accuracy in a sensor-constrained target dataset in several configurations.
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Enhancing Fatigue Detection through Heterogeneous Multi-Source Data Integration and Cross-Domain Modality Imputation
A framework that imputes missing high-fidelity sensor channels (EEG, ECG) from shared wearable signals improves fatigue detection accuracy in a sensor-constrained target dataset in several configurations.