Linear and nonlinear analysis of multimodal physiological data for affective arousal recognition

CHEN Y, CUI Y (2017) Review of emotion recognition based on physiological signals. Syst Simul Technol 13(1):1–5

Google Scholar 

Chen X, Hao X (2019) Feature reduction method for cognition and classification of IoT devices based on artificial intelligence. IEEE Access 7:103291–103298

Article  Google Scholar 

Dey S et al (2020) A comparative study of support vector machine and Naive Bayes classifier for sentiment analysis on Amazon product reviews. in. International Conference on Contemporary Computing and Applications (IC3A). 2020. IEEE

Dzedzickis A, Kaklauskas A, Bucinskas V (2020) Hum Emot Recognition: Rev Sens Methods Sens 20(3):592

Google Scholar 

Egger M, Ley M, Hanke S (2019) Emotion recognition from physiological signal analysis: a review. Electron Notes Theor Comput Sci 343:35–55

Article  Google Scholar 

Ganzach Y, Yaor E (2019) The retrospective evaluation of positive and negative affect. Pers Soc Psychol Bull 45(1):93–104

Article  PubMed  Google Scholar 

Giannakakis G et al (2019) Review on psychological stress detection using biosignals. IEEE Trans Affect Comput 13(1):440–460

Article  Google Scholar 

Gillespie SM, Jones A, Garofalo C (2022) Psychopathy and dangerousness: An umbrella review and meta-analysis Clinical psychology review, : p. 102240

Greco A et al (2016) Arousal and valence recognition of affective sounds based on electrodermal activity. IEEE Sens J 17(3):716–725

Article  ADS  Google Scholar 

Gruszczyńska I et al (2019) Epilepsy identification based on EEG signal using RQA method. Adv Med Sci 64(1):58–64

Article  PubMed  Google Scholar 

Hong W-C (2020) Phase Space Reconstruction and recurrence plot theory, in Hybrid Intelligent technologies in Energy demand forecasting. Springer, pp 153–179

Jain A, Kumar L (2023) Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task. Biomed Signal Process Control 86:105160

Article  Google Scholar 

Khaleghi A et al (2020) Applicable features of electroencephalogram for ADHD diagnosis. Res Biomedical Eng 36(1):1–11

Article  Google Scholar 

Khaleghi A et al (2021) A neuronal population model based on cellular automata to simulate the electrical waves of the brain. Waves Random Complex Media, : p. 1–20

Khaleghi A et al (2022) Computational neuroscience approach to psychiatry: a review on theory-driven approaches. Clin Psychopharmacol Neurosci 20(1):26

Article  PubMed  PubMed Central  Google Scholar 

Khaleghi A et al (2023) Possible neuropathological mechanisms underlying the increased complexity of Brain Electrical Activity in Schizophrenia: a computational study. Iran J Psychiatry, : p. 1–7

Kumov V, Samorodov A (2020) Recognition of genetic diseases based on combined feature extraction from 2D face images. in 26th Conference of Open Innovations Association (FRUCT). 2020. IEEE

Li X et al (2016) Emotion recognition from multi-channel EEG data through convolutional recurrent neural network. in. IEEE international conference on bioinformatics and biomedicine (BIBM). 2016. IEEE

Liu J et al (2016) Emotion detection from EEG recordings. in. 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). 2016. IEEE

Mehrnam A et al (2017) Reprint of a new approach to analyze data from EEG-based concealed face recognition system. Int J Psychophysiol 122:17–23

Article  CAS  PubMed  Google Scholar 

Mohammadi MR et al (2016) EEG classification of ADHD and normal children using non-linear features and neural network. Biomed Eng Lett 6(2):66–73

Article  MathSciNet  Google Scholar 

Pollak SD, Camras LA, Cole PM (2019) Progress in understanding the emergence of human emotion. Dev Psychol 55(9):1801

Article  PubMed  PubMed Central  Google Scholar 

Ragot M et al (2017) Emotion recognition using physiological signals: laboratory vs. wearable sensors. in International Conference on Applied Human Factors and Ergonomics. Springer

Seleznov I, Tukaiev S, Popov A (2019) Detrended fluctuation analysis of the effects of advertisement placement on electroencephalogram. in 2019 Signal Processing Symposium (SPSympo). IEEE

Shi Y et al (2022) Perception of driving simulations: can the level of Detail of virtual scenarios affect the driver’s behavior and emotions? IEEE Trans Veh Technol 71(4):3429–3442

Article  Google Scholar 

Shu L et al (2018) A review of emotion recognition using physiological signals. Sensors 18(7):2074

Article  ADS  PubMed  PubMed Central  Google Scholar 

Tushar AK, Kabir MA, Ahmed SI (2021) Mental health and sensing. Signal Processing Techniques for Computational Health Informatics, pp 247–260

Valdiviezo-Diaz P et al (2019) A collaborative filtering approach based on Naïve Bayes classifier. IEEE Access 7:108581–108592

Article  Google Scholar 

Valenza G, Lanata A, Scilingo EP (2011) The role of nonlinear dynamics in affective valence and arousal recognition. IEEE Trans Affect Comput 3(2):237–249

Article  Google Scholar 

Wallot S, Mønster D (2018) Calculation of average mutual information (AMI) and false-nearest neighbors (FNN) for the estimation of embedding parameters of multidimensional time series in matlab. Front Psychol 9:1679

Article  PubMed  PubMed Central  Google Scholar 

Yan Y et al (2022) Topological EEG nonlinear dynamics analysis for emotion recognition. IEEE Transactions on Cognitive and Developmental Systems

Ziaratnia S et al (2023) Comparison of Physiological Responses to Stroop Word Color Test and IAPS Stimulation. in International Conference on Human-Computer Interaction. Springer

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