Beyond the Raw Waveform: Fusing Visual Representations of EDA for Stress Detection
Electrodermal activity (EDA) is widely used in automatic stress detection, yet most pipelines treat it only as a raw one-dimensional waveform. This study examines whether complementary visual representations of EDA provide useful information for stress classification and whether their fusion im- proves recognition performance. Six image-based representations are derived from each EDA recording: an unwrapped short-time Fourier transform (STFT) phase spectrogram, an instantaneous-frequency map computed from that phase, a power spectral density (PSD) spectrogram, a continuous wavelet transform scalogram, a recurrence plot, and a rendered waveform trace. The selected representations are stack...
| Authors | Stefanos Gkikas, Thomas Kassiotis, Yang Guo et al. |
|---|---|
| Primary category | eess.SP |
| Published | 10 August 2026 |
| Last updated at source | 10 August 2026 |
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