A review of emotion recognition using physiological signals

L Shu, J ** review of neuroarchitecture and its precursor approaches
JL Higuera-Trujillo, C Llinares, E Macagno - Sensors, 2021 - mdpi.com
Humans respond cognitively and emotionally to the built environment. The modern
possibility of recording the neural activity of subjects during exposure to environmental …

A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals

K Kamble, J Sengupta - Multimedia Tools and Applications, 2023 - Springer
Emotion recognition using electroencephalography (EEG) is becoming an interesting topic
among researchers. It has made a remarkable entry in the domain of biomedical, smart …

Wearable-based affect recognition—A review

P Schmidt, A Reiss, R Dürichen, K Van Laerhoven - Sensors, 2019 - mdpi.com
Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

Electrodermal activity sensor for classification of calm/distress condition

R Zangróniz, A Martínez-Rodrigo, JM Pastor, MT López… - Sensors, 2017 - mdpi.com
This article introduces a new and unobtrusive wearable monitoring device based on
electrodermal activity (EDA) to be used in health-related computing systems. This paper …

Automatic ECG-based emotion recognition in music listening

YL Hsu, JS Wang, WC Chiang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents an automatic ECG-based emotion recognition algorithm for human
emotion recognition. First, we adopt a musical induction method to induce participants' real …

[HTML][HTML] Is heart rate variability (HRV) an adequate tool for evaluating human emotions?–A focus on the use of the International Affective Picture System (IAPS)

KH Choi, J Kim, OS Kwon, MJ Kim, YH Ryu, JE Park - Psychiatry research, 2017 - Elsevier
Because human emotion varies greatly among individuals and is a qualitative factor,
measuring it with any degree of accuracy is very difficult. Heart rate variability (HRV), which …