Fractal Analysis of Electrodermal Activity for Emotion Recognition: A Novel Approach Using Detrended Fluctuation Analysis and Wavelet Entropy

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 24; p. 8130
• Main Authors: Mercado-Diaz, Luis R., Veeranki, Yedukondala Rao, Large, Edward W., Posada-Quintero, Hugo F.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 19.12.2024
• Subjects: Adult; Algorithms; Arousal - physiology; Datasets; detrended fluctuation analysis; electrodermal activity; emotional states; Emotions; Emotions - physiology; Entropy; Female; Fourier transforms; fractal analysis; Fractals; Galvanic Skin Response - physiology; Humans; Machine Learning; Male; Mental health; Nervous system; Physiology; Signal processing; Signal Processing, Computer-Assisted; Time series; Trends; Wavelet Analysis; Wavelet transforms; Young Adult; electrodermal activity; fractal analysis; machine learning; emotional states; detrended fluctuation analysis

The field of emotion recognition from physiological signals is a growing area of research with significant implications for both mental health monitoring and human–computer interaction. This study introduces a novel approach to detecting emotional states based on fractal analysis of electrodermal ac...