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Artifact removal improves electrodermal waveforms but not downstream classification in a virtual-reality balance task

Chai, Haochen et al.
arXiv (All) · Papers
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human-computer-interactioni-5-4j-3machine-learningsignal-processing
Artifact removal routinely precedes the classification of electrodermal activity (EDA), on the assumption that a cleaner signal supports a better decision. We tested this assumption in a virtual-reality (VR) balance-disturbance task. A residual gating network was trained on a benchmark with expert-c
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