Emotion analysis of EEG signals using proximity-conserving auto-encoder (PCAE) and ensemble techniques

Abdulrahman A, Baykara M, Alakus TB (2022) A novel approach for emotion recognition based on EEG signal using deep learning. Appl Sci 12(19):10028

Article  CAS  Google Scholar 

Alam A, Urooj S, Ansari AQ (2023) Design and development of a non-contact ECG-based human emotion recognition system using SVM and RF classifiers. Diagnostics 13(12):2097

Article  PubMed  PubMed Central  Google Scholar 

Isik I (2024) Heart disease prediction with feature selection based on metaheuristic optimization algorithms and electronic filter model. Arab J Sci Eng 49(9):11953–11966

Article  Google Scholar 

Aydın S (2019) Deep learning classification of neuro-emotional phase domain complexity levels induced by affective video film clips. IEEE J Biomed Health Inform 24(6):1695–1702

Article  PubMed  Google Scholar 

Aydın S, Onbaşı L (2024) Graph theoretical brain connectivity measures to investigate neural correlates of music rhythms associated with fear and anger. Cogn Neurodyn 18(1):49–66

Article  PubMed  Google Scholar 

Cai M, Chen J, Hua C, Wen G, Fu R (2024) EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image. Inf Sci 680:121198

Article  Google Scholar 

Cheng WX, Gao R, Suganthan PN, Yuen KF (2022) EEG-based emotion recognition using random Convolutional Neural Networks. Eng Appl Artif Intell 116:105349

Article  Google Scholar 

Fan C, Wang J, Huang W, Yang X, Pei G, Li T, Lv Z (2024) Light-weight residual convolution-based capsule network for EEG emotion recognition. Adv Eng Inform 61:102522

Article  Google Scholar 

Fan C, Xie H, Tao J, Li Y, Pei G, Li T, Lv Z (2024) ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition. Biomed Signal Process Control 87:105422

Article  Google Scholar 

Gao Q, Yang Y, Kang Q, Tian Z, Song Y (2022) EEG-based emotion recognition with feature fusion networks. Int J Mach Learn Cybern 13(2):421–429

Article  Google Scholar 

Grilo M Jr, Moraes CP, Coelho BFO, Massaranduba ABR, Fantinato D, Ramos RP, Neves A (2023) Artifact removal for emotion recognition using mutual information and Epanechnikov kernel. Biomed Signal Process Control 83:104677

Article  Google Scholar 

Guo W, Wang Y (2024) Convolutional gated recurrent unit-driven multidimensional dynamic graph neural network for subject-independent emotion recognition. Expert Syst Appl 238:121889

Article  Google Scholar 

Houssein EH, Hammad A, Samee NA, Alohali MA, Ali AA (2024) TFCNN-BiGRU with self-attention mechanism for automatic human emotion recognition using multi-channel EEG data. Clust Comput 27(10):14365–14385

Article  Google Scholar 

Khubani J, Kulkarni S (2024) An adaptive search optimizer-based deep Bi-LSTM for emotion recognition using electroencephalogram signal. Biomed Signal Process Control 93:106217

Article  Google Scholar 

Kılıç B, Aydın S (2022) Classification of contrasting discrete emotional states indicated by EEG based graph theoretical network measures. Neuroinformatics 20(4):863–877

Article  PubMed  Google Scholar 

Kim M, Im CH (2024) HiRENet: novel convolutional neural network architecture using Hilbert-transformed and raw electroencephalogram (EEG) for subject-independent emotion classification. Comput Biol Med 178:108788

Article  PubMed  Google Scholar 

Lu F, Tong Q, Jiang X, Feng Z, Xu J, Huo J (2024) Deep multilayer sparse regularization time-varying transfer learning networks with dynamic Kullback–Leibler divergence weights for mechanical fault diagnosis. IEEE Trans Ind Inform

Lu K, Gu Z, Qi F, Sun C, Guo H, Sun L (2024) CMLP-Net: a convolution-multilayer perceptron network for EEG-based emotion recognition. Biomed Signal Process Control 96:106620

Article  Google Scholar 

Mellouk W, Handouzi W (2023) CNN-LSTM for automatic emotion recognition using contactless photoplythesmographic signals. Biomed Signal Process Control 85:104907

Article  Google Scholar 

Nalwaya A, Das K, Pachori RB (2024) An automated framework for human emotion detection from multichannel EEG signals. IEEE Sens J

Özçelik YB, Altan A (2023) A comparative analysis of artificial intelligence optimization algorithms for the selection of entropy-based features in the early detection of epileptic seizures. In: 2023 14th International conference on electrical and electronics engineering (ELECO), pp 1–5. IEEE

Özçelik YB, Altan A (2023) Overcoming nonlinear dynamics in diabetic retinopathy classification: a robust AI-based model with chaotic swarm intelligence optimization and recurrent long short-term memory. Fractal Fract 7(8):598

Article  Google Scholar 

Ozel P, Akan A (2023) Channel contributions of EEG in emotion modelling based on multivariate adaptive orthogonal signal decomposition. IETE J Res 69(6):3083–3094

Article  Google Scholar 

Padhmashree V, Bhattacharyya A (2022) Human emotion recognition based on time–frequency analysis of multivariate EEG signal. Knowl Based Syst 238:107867

Article  Google Scholar 

Reyad M, Sarhan M, Arafa M (2023) A modified Adam algorithm for deep neural network optimization. Neural Comput Appl 35(23):17095–17112

Article  Google Scholar 

The “EEG Brainwave Dataset: Feeling Emotions” dataset is available at https://www.kaggle.com/datasets/birdy654/eeg-brainwave-dataset-feeling-emotions

Vempati R, Sharma LD (2023) EEG rhythm based emotion recognition using multivariate decomposition and ensemble machine learning classifier. J Neurosci Methods 393:109879

Article  PubMed  Google Scholar 

Wang Y, Qiu S, Li D, Du C, Lu BL, He H (2022a) Multi-modal domain adaptation variational autoencoder for EEG-based emotion recognition. IEEE/CAA J Autom Sin 9(9):1612–1626

Article  Google Scholar 

Wang Y, Zhang L, Xia P, Wang P, Chen X, Du L, Fang Z, Du M (2022) EEG-based emotion recognition using a 2D CNN with different kernels. Bioengineering 9(6):231

Article  PubMed  PubMed Central  Google Scholar 

Wang Y, Zhou Y, Lu W, Wu Q, Li Q, Zhang R (2024) AC-CfC: an attention-based convolutional closed-form continuous-time neural network for raw multi-channel EEG-based emotion recognition. Biomed Signal Process Control 94:106249

Article  Google Scholar 

Xu G, Guo W, Wang Y (2023) Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv architecture. Med Biol Eng Comput 61(1):61–73

Article  PubMed  Google Scholar 

Yan X, Lin Z, Lin Z, Vucetic B (2023) A novel exploitative and explorative GWO-SVM algorithm for smart emotion recognition. IEEE Internet Things J 10(11):9999–10011

Article  Google Scholar 

Zali-Vargahan B, Charmin A, Kalbkhani H, Barghandan S (2023) Deep time-frequency features and semi-supervised dimension reduction for subject-independent emotion recognition from multi-channel EEG signals. Biomed Signal Process Control 85:104806

Article  Google Scholar 

Zhang Z, Liu Y, Zhong SH (2022) GANSER: A self-supervised data augmentation framework for EEG-based emotion recognition. IEEE Trans Affect Comput 14(3):2048–2063

Article  Google Scholar 

Zhang M, Gao H, Liao X, Ning B, Gu H, Yu B (2023) DBGRU-SE: predicting drug–drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism. Brief Bioinform 24(4):bbad184

Article  PubMed  Google Scholar 

Zhou Q, Shi C, Du Q, Ke L (2023) A multi-task hybrid emotion recognition network based on EEG signals. Biomed Signal Process Control 86:105136

Article  Google Scholar 

留言 (0)

沒有登入
gif