A review on nonlinear methods using electroencephalographic recordings for emotion recognition

B García-Martínez, A Martinez-Rodrigo… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Electroencephalographic (EEG) recordings are receiving growing attention in the field of
emotion recognition, since they monitor the brain's first response to an external stimulus …

20 years of ordinal patterns: Perspectives and challenges

I Leyva, JH Martínez, C Masoller, OA Rosso… - Europhysics …, 2022 - iopscience.iop.org
In 2002, in a seminal article, Bandt and Pompe proposed a new methodology for the
analysis of complex time series, now known as Ordinal Analysis. The ordinal methodology is …

Evolutionary inspired approach for mental stress detection using EEG signal

LD Sharma, VK Bohat, M Habib, AZ Ala'M… - Expert systems with …, 2022 - Elsevier
Stress is a pensive issue in our competitive world and it has a huge impact on physical and
mental health. Severe health issues may arise due to long exposure of stress. Hence, its …

Emotion recognition using multimodal residual LSTM network

J Ma, H Tang, WL Zheng, BL Lu - Proceedings of the 27th ACM …, 2019 - dl.acm.org
Various studies have shown that the temporal information captured by conventional long-
short-term memory (LSTM) networks is very useful for enhancing multimodal emotion …

Cognitive load detection using circulant singular spectrum analysis and Binary Harris Hawks Optimization based feature selection

J Yedukondalu, LD Sharma - Biomedical Signal Processing and Control, 2023 - Elsevier
Cognitive load detection during the mental assignment of neural activity is necessary
because it helps to understand the brain's response to stimuli. An electroencephalogram …

Mental arithmetic task load recognition using EEG signal and Bayesian optimized K-nearest neighbor

LD Sharma, H Chhabra, U Chauhan… - International Journal of …, 2021 - Springer
Cognitive load recognition during mental arithmetic activity facilitates to observe and identify
the brain's response towards stress stimulus. As a result, an efficient mental load …

Multiscale entropy analysis for recognition of visually elicited negative stress from EEG recordings

A Martínez-Rodrigo, B García-Martínez… - … journal of neural …, 2019 - World Scientific
Automatic identification of negative stress is an unresolved challenge that has received
great attention in the last few years. Many studies have analyzed electroencephalographic …

Psychological stimulation for anxious states detection based on EEG-related features

A Baghdadi, Y Aribi, R Fourati, N Halouani… - Journal of Ambient …, 2021 - Springer
Anxiety affects human capabilities and behavior as much as it affects productivity and quality
of life. It is considered to be the main cause of depression and suicide. Anxious states are …

Unsupervised learning in reservoir computing for eeg-based emotion recognition

R Fourati, B Ammar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In real-world applications such as emotion recognition from recorded brain activity, data are
captured from electrodes over time. These signals constitute a multidimensional time series …

Multisensory stress reduction: a neuro-architecture study of paediatric waiting rooms

JL Higuera-Trujillo, C Llinares Millán… - Building Research & …, 2020 - Taylor & Francis
The implementation of environmental satisfaction sources in the design of a health centre is
a means to achieve stress reduction. The present work analyses the effect that these …