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Wearable stress and affect detection on WESAD

74.81AUROCNormWear
67.446869.358471.2773.1816Dec 9, 2025

Evaluation results

MethodLinks
NormWearBackbone Size=1.5GB2025.1274.81
Catch222025.1272.59
Expert2025.1272.29
DeepFeature2025.1271.82
Kats2025.1271.52
CAAFE2025.1270.27
TsFresh2025.1269.79
TSFEL2025.1268.88
General2025.1268.55
AutoIoT2025.1268.44
ELLM_FTFine-tuned=true2025.1267.73