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Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst

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References

2001Toward machine emotional intelligence: analysis of affective physiological state2,334 cited
1995Emotion elicitation using films2,179 cited
2008The Handbook of emotion elicitation and assessment1,119 cited
2008Emotion recognition based on physiological changes in music listening1,085 cited
2004Emotion recognition system using short-term monitoring of physiological signals942 cited
2009Short-term emotion assessment in a recall paradigm368 cited
2007Real-time classification of evoked emotions using facial feature tracking and physiological responses276 cited
2009Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis256 cited
2011The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition252 cited
2002Multimodal human emotion/expression recognition183 cited
2007Bimodal Emotion Recognition using Speech and Physiological Changes145 cited

Cited by

2020A review of recent approaches for emotion classification using electrocardiography and electrodermography signals113 cited
2023A new deep convolutional neural network incorporating attentional mechanisms for ECG emotion recognition94 cited
2024Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface

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91 cited

2014Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity87 cited

2020Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy78 cited

2017Happy-anger emotions classifications from electrocardiogram signal for automobile driving safety and awareness64 cited

2018EEG based emotion classification using “Correlation Based Subset Selection”59 cited

2021A new approach for emotions recognition through EOG and EMG signals53 cited

2022Machine learning model for mapping of music mood and human emotion based on physiological signals53 cited