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Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers

2 references·16 citing·37 second hopsampled

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References

2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
2010Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications1,892 cited

Cited by

2022EEG Based Emotion Recognition: A Tutorial and Review505 cited
2022TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition440 cited
2022Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review429 cited
2016Recognition of emotions using multimodal physiological signals and an ensemble deep learning model416 cited
2018Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network357 cited
2018Human emotion recognition using deep belief network architecture307 cited
2017Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review301 cited
2020Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition300 cited
2020EEG-Based BCI Emotion Recognition: A Survey292 cited
2018EEG-Based Emotion Recognition using 3D Convolutional Neural Networks251 cited
2019Accurate EEG-Based Emotion Recognition on Combined Features Using Deep Convolutional Neural Networks249 cited

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2017

Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers

245 cited

2022Investigating EEG-based functional connectivity patterns for multimodal emotion recognition238 cited

2019Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing232 cited

2021Emotion recognition based on EEG feature maps through deep learning network232 cited

2018Emotion recognition from multichannel EEG signals using K-nearest neighbor classification230 cited