Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers

NK Al-Qazzaz, MK Sabir, SHBM Ali, SA Ahmad… - Sensors, 2019 - mdpi.com
Identifying emotions has become essential for comprehending varied human behavior
during our daily lives. The electroencephalogram (EEG) has been adopted for eliciting …

[PDF][PDF] A real time set up for retrieval of emotional states from human neural responses

R Mahajan, D Bansal, S Singh - International Journal of Biomedical …, 2014 - academia.edu
Real time non-invasive Brain Computer Interfaces have a significant progressive role in
restoring or maintaining a quality life for medically challenged people. This manuscript …

[PDF][PDF] Classification of human emotion from deap eeg signal using hybrid improved neural networks with cuckoo search

M Sreeshakthy, J Preethi - BRAIN. Broad Research in Artificial …, 2016 - brain.edusoft.ro
Emotions are very important in human decision handling, interaction and cognitive process.
In this paper describes that recognize the human emotions from DEAP EEG dataset with …

Statistical features extraction for multivariate pattern analysis in meditation EEG using PCA

L Shaw, A Routray - 2016 IEEE EMBS International Student …, 2016 - ieeexplore.ieee.org
This work was undertaken to study the specific statistical features of EEG data collected
during meditation (Kriya Yoga) and normal conditions. The meditation practice changes the …

Comparative analysis of dimension reduction techniques over classification algorithms for speech emotion recognition

A Biswas, S Chakraborty, ANMY Rifat… - … in Computing: Third EAI …, 2020 - Springer
The research work aimed to present a comparative study of increasing the performance of
classifier algorithms by using dimension reduction algorithms. The dataset had been …

EEG-based happy and sad emotions classification using LSTM and bidirectional LSTM

M Pratiwi, AD Wibawa… - 2021 3rd international …, 2021 - ieeexplore.ieee.org
Emotion recognition is currently a topic that researchers widely have discussed. This is due
to the significant influence of emotions on everyday life. It is not only affecting human health …

[PDF][PDF] Research Article Speech Emotion Recognition Using Adaptive Ensemble of Class Specific Classifiers

P Vasuki - … Journal of Applied Sciences, Engineering and …, 2015 - pdfs.semanticscholar.org
Emotion recognition plays a significant role in Human Computer Interaction (HCI) field for
effective communication. The aim of this study is to built a generic emotion recognition …

The observation of real videos and movie clips with anger content induces different cortical connectivity patterns in young women

J Molina-Del-Rio, RM Hidalgo-Aguirre… - Revista mexicana de …, 2022 - scielo.org.mx
Background: When we experience an emotion, a personal evaluation of stimuli and
physiological responses occurs, based on the previous exposure. Anger can be triggered …

Classification of emotion from EEG using hybrid radial basis function networks with elitist PSO

M Sreeshakthy, J Preethi - 2015 IEEE 9th International …, 2015 - ieeexplore.ieee.org
Emotion play an important role at several activities in the present world. Human decision
making, cognitive process and interaction between human & machine all the activities …

Feature compression using PCA on motor imagery classifications

M Sahu, Y Sharma, D Sharma… - Proceedings of 3rd …, 2018 - papers.ssrn.com
The electrical signals were first discovered by English scientist Richard Caton in 1875. Since
then technology has evolved in all its spheres to alleviate the developments in this field …