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Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.

Mo Han¹, Özan Ozdenizci¹, Ye Wang²

¹Cognitive Systems Laboratory, Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.

IEEE Signal Processing Letters

|March 22, 2021

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This study introduces an adversarial feature extractor to improve biosignal processing by creating universal representations. This method enhances device control accuracy across diverse users and tasks.

Failed At:

2026-06-19T13:38:55.716325+00:00

Keywords:

adversarial deep learning stress assessment

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