EEG-Based Multi-Class Emotion Recognition using Hybrid LSTM Approach
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2023, Vol 11, Issue 3
Abstract
Emotion recognition is a crucial task in human-computer interaction, psychology, and neuroscience. Electroencephalogram (EEG)-based multi-class emotion recognition is a novel approach that aims to identify and classify human emotions by analysing EEG signals. Traditional methods of emotion recognition often face challenges in accurately identifying and classifying human emotions due to their complexity and subjectivity. EEG-based emotion recognition provides a direct and objective measure of three emotional states (positive, neutral, and negative), making it a promising tool for emotion recognition. The proposed hybrid LSTM approach combines the strengths of different traditional machine learning algorithms: Gaussian Naive Bayes (GNB), Support Vector Machine (SVM), Logistic Regression (LR), and Decision Tree (DT). The approach was tested on the EEG brainwave dataset, and LSTM achieved an accuracy of 95%, while the proposed hybrid LSTM-GNB, LSTM-SVM, LSTM-LR, and LSTM-DT models achieved 65%, 96%, 97%, and 96% accuracy, respectively. The contribution of this study is the development of a hybrid LSTM approach that combines the strengths of two different algorithms, resulting in higher accuracy for multi-class emotion recognition using EEG signals. The results demonstrate the potential of the hybrid LSTM approach for real-world applications such as emotion-based human-computer interaction and mental health diagnosis.
Authors and Affiliations
Md Momenul Haque, Subrata Kumer Paul, Rakhi Rani Paul, Mursheda Nusrat Della, Md. Kamrul Islam, and Sultan Fahim
Automatic Chocolate Vending Machine By Using Arduino Uno
This paper proposes the design of Automatic vending machine. The main objective of our project is to launch new technology application in society. This is Arduino based vending machine that sales different type of chocol...
By Using ETABS Planning, Designing and Analysis of a Commercial Building Consisting of Flat Slabs Considering Earthquake Induced Forces
Structures consisting of Flat slabs posses’ great advantage over conventional structures with usual slab beam design. Because of the freedom to design space, shorter construction time, architectural functional as well as...
A Deep Neural Network Approach to Detect and Classify Skin Cancer
Among all cancers, skin cancer is one of the serious disease which effects major population across the globe. If the detection and diagnosis would not happen in early stages it can be spread to other body parts rapidly f...
An Analysis of Renewable Energy Resources
Regardless of fact that earth's form cannot alteration, world is fast becoming a global community as world's populace consumes more energy on a frequent basis. Energy & related services have become progressively cruc...
Software Risk Management Approaches in Large-Scale Systems: A Critical Examination
For a long time, software industry researchers have worked on risk supervision solutions. Software risk supervision is a computer engineering technique that includes identifying risks, estimating risks, mitigating risks,...