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A review of recent approaches for emotion classification using electrocardiography and electrodermography signals

16 references·2 citing·41 second hopsampled

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References

1980A circumplex model of affect.16,320 cited
1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
2017Emotions Recognition Using EEG Signals: A Survey1,199 cited
2017DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices1,130 cited
2018Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors414 cited
2015DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses367 cited
2019A machine learning model for emotion recognition from physiological signals232 cited
2019The use of electrodermal activity (EDA) measurement to understand consumer emotions – A literature review and a call for action212 cited
2017An accurate emotion recognition system using ECG and GSR signals and matching pursuit method181 cited
2017Psychological stress level detection based on electrodermal activity147 cited
2019Exploring barriers to adoption of Virtual Reality through Social Media Analytics and Machine Learning – An assessment of technology, network, price and trialability142 cited
2019Anxiety Level Recognition for Virtual Reality Therapy System Using Physiological Signals135 cited

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2017

Wearable Emotion Recognition System based on GSR and PPG Signals

131 cited

2013Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst129 cited

2019Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data123 cited

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