EEG based emotion prediction with neural network models
Sažetak The term" emotion" refers to an individual's response to an event, person, or
condition. In recent years, there has been an increase in the number of papers that have …
condition. In recent years, there has been an increase in the number of papers that have …
[PDF][PDF] Use of XGBoost Algorithm in Classification of EEG Signals
O Balli - Proceedings of the 1st International Conference on …, 2022 - researchgate.net
Brain signals based on electroencephalogram (EEG) data have been the subject of
research in many areas recently. The processing of EEG data is a difficult task to do …
research in many areas recently. The processing of EEG data is a difficult task to do …
Thermal Influence on Cognitive Responses: An EEG and Machine Learning Analysis
K Mahajan, P Nigam - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This study uses electroencephalography (EEG) as the primary collection technique to
carefully evaluate the relationship between changes in ambient temperature and brainwave …
carefully evaluate the relationship between changes in ambient temperature and brainwave …
Emotion Classification Using Optimized Features and Ensemble Learning Techniques for EEG Dataset
SD Bharkavi, S Kavitha, M Harini… - 2023 International …, 2023 - ieeexplore.ieee.org
Emotion recognition from electroencephalogram (EEG) signals is one of the important real
time applications in Brain-Computer Interface (BCI). The proposed research addresses the …
time applications in Brain-Computer Interface (BCI). The proposed research addresses the …