Non-Linear Signal Processing Methods for Automatic Emotion Recognition using Electrodermal Activity
YR Veeranki, LRM Diaz, R Swaminathan… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Detection of emotional states plays a prominent role in affective computing, decision-
making, and healthcare. Physiological signals are an ideal target for continuous and …
making, and healthcare. Physiological signals are an ideal target for continuous and …
[HTML][HTML] Fractal Analysis of Electrodermal Activity for Emotion Recognition: A Novel Approach Using Detrended Fluctuation Analysis and Wavelet Entropy
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 …
with significant implications for both mental health monitoring and human–computer …
EDA-Graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection
LR Mercado-Diaz, YR Veeranki… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The continuous detection of emotional states has many applications in mental health,
marketing, human-computer interaction, and assistive robotics. Electrodermal activity (EDA) …
marketing, human-computer interaction, and assistive robotics. Electrodermal activity (EDA) …
Emotion Classification through Optimal Segments of EDA and Texture Analysis of Time-Encoded Images with Artificial Intelligence
PS Kumar, JFA Ronickom - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this study, we focus on investigating the time-encoded images of electrodermal activity
(EDA) segments to identify significant patterns for an emotion recognition system. Initially …
(EDA) segments to identify significant patterns for an emotion recognition system. Initially …
Investigating the Effects of Two-Class Categorical Emotion Classification Through Electrodermal Activity and Machine Learning
S KumarP, JFA Ronickom - 2023 IEEE 5th International …, 2023 - ieeexplore.ieee.org
Wearable emotion recognition using physiological signals gains attention due to its non-
intrusive nature, yet effectively using physiological data remains a challenge. In our study …
intrusive nature, yet effectively using physiological data remains a challenge. In our study …
Affective computing framework for social emotion elicitation and recognition using artificial intelligence
J Llanes Jurado - 2024 - riunet.upv.es
[ES] El campo de la computación afectiva es un área que ha surgido con gran impulso y
está en constante evolución. Este campo logra integrar psicofisiología, informática …
está en constante evolución. Este campo logra integrar psicofisiología, informática …