Gayathri P

Department of Database Systems

School of Computer Science and Engineering

Vellore Campus

Panicker S.S

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

Biocybernetics and Biomedical Engineering

This paper aims to proposed emotion recognition using electroencephalography (EEG) techniques. Recognizing emotion by using computers is becoming popular these days. This paper is based on calculating EEG signals and recognizing emotion from human brain activity. Electroencephalogram (EEG) signals are taken from the scalp of the brain and assessed in responds to several stimuli from the four basic emotions on the IAPS emotion stimuli. Features from the EEG signals are captured using the Kernel Density Estimation (KDE) and classified via the artificial neural network classifier to recognise emotional condition of the subject under test. Results are obtained to prove that the proposed modified KDE gives better results in terms of accuracy. Also, the proposed method gives better estimation of emotion of the subject from streaming EEG data by using the concept of cluster kernels. © 2015 The Authors. Published by Elsevier B.V.

Fulltext

Procedia Computer Science

An Approach to EEG Based Emotion Recognition and Classification Using Kernel Density Estimation

IEEE Transactions on Cybernetics

Spatial–Temporal Recurrent Neural Network for Emotion Recognition

IFMBE Proceedings World Congress on Medical Physics and Biomedical Engineering 2018

Ultra-Short Entropy for Mental Stress Detection

Expert Systems with Applications

A wavelet-based approach to emotion classification using EDA signals

Multimedia Tools and Applications

EEG-based classification of emotions using empirical mode decomposition and autoregressive model

A survey of machine learning techniques in physiology based mental stress detection systems

Journal	Data powered by TypesetBiocybernetics and Biomedical Engineering
Publisher	Data powered by TypesetElsevier BV
ISSN	0208-5216
Open Access	0