EEG‐based emotion recognition: a state‐of‐the‐art review of current trends and opportunities

NS Suhaimi, J Mountstephens… - Computational …, 2020 - Wiley Online Library
Emotions are fundamental for human beings and play an important role in human cognition.
Emotion is commonly associated with logical decision making, perception, human …

Human emotion recognition: Review of sensors and methods

A Dzedzickis, A Kaklauskas, V Bucinskas - Sensors, 2020 - mdpi.com
Automated emotion recognition (AEE) is an important issue in various fields of activities
which use human emotional reactions as a signal for marketing, technical equipment, or …

A review of emotion recognition using physiological signals

L Shu, J Xie, M Yang, Z Li, Z Li, D Liao, X Xu, X Yang - Sensors, 2018 - mdpi.com
Emotion recognition based on physiological signals has been a hot topic and applied in
many areas such as safe driving, health care and social security. In this paper, we present a …

Electrocardiogram-based emotion recognition systems and their applications in healthcare—a review

MA Hasnul, NAA Aziz, S Alelyani, M Mohana, AA Aziz - Sensors, 2021 - mdpi.com
Affective computing is a field of study that integrates human affects and emotions with
artificial intelligence into systems or devices. A system or device with affective computing is …

A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals

PJ Bota, C Wang, ALN Fred, HP Da Silva - IEEE access, 2019 - ieeexplore.ieee.org
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …

ECG pattern analysis for emotion detection

F Agrafioti, D Hatzinakos… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Emotion modeling and recognition has drawn extensive attention from disciplines such as
psychology, cognitive science, and, lately, engineering. Although a significant amount of …

A study of accelerometer and gyroscope measurements in physical life-log activities detection systems

A Jalal, MAK Quaid, SB Tahir, K Kim - Sensors, 2020 - mdpi.com
Nowadays, wearable technology can enhance physical human life-log routines by shifting
goals from merely counting steps to tackling significant healthcare challenges. Such …

Physiological signals based human emotion recognition: a review

S Jerritta, M Murugappan… - 2011 IEEE 7th …, 2011 - ieeexplore.ieee.org
Recent research in the field of Human Computer Interaction aims at recognizing the user's
emotional state in order to provide a smooth interface between humans and computers. This …

Multimodal affective dimension prediction using deep bidirectional long short-term memory recurrent neural networks

L He, D Jiang, L Yang, E Pei, P Wu… - Proceedings of the 5th …, 2015 - dl.acm.org
This paper presents our system design for the Audio-Visual Emotion Challenge (AV^+EC
2015). Besides the baseline features, we extract from audio the functionals on low-level …

Music mood and human emotion recognition based on physiological signals: a systematic review

V Chaturvedi, AB Kaur, V Varshney, A Garg… - Multimedia …, 2022 - Springer
Scientists and researchers have tried to establish a bond between the emotions conveyed
and the subsequent mood perceived in a person. Emotions play a major role in terms of our …