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

https://doi.org/10.1016/j.imu.2020.100363

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Analysis of Electrocardiogram (ECG) Signals for Human Emotional Stress Classification

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Measuring emotion: The self-assessment manikin and the semantic differential

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The use of electrodermal activity (EDA) measurement to understand consumer emotions – A literature review and a call for action

inferredcites →https://doi.org/10.1016/j.ssci.2019.01.022openalex-snapshot

Feasibility analysis of electrodermal activity (EDA) acquired from wearable sensors to assess construction workers’ perceived risk

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Random Forests

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A circumplex model of affect.

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Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

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Random decision forests

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DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices

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Arousal and Valence Recognition of Affective Sounds Based on Electrodermal Activity

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Sensing Technologies for Monitoring Serious Mental Illnesses

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EEG-Based Classification of Emotional State Using an Autonomous Vehicle Simulator

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DEAP: A Database for Emotion Analysis ;Using Physiological Signals

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DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses

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Emotions Recognition Using EEG Signals: A Survey

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Emotion recognition based on wavelet analysis of Empirical Mode Decomposed EEG signals responsive to music videos

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Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge

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Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction

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Effects of Sharing Physiological States of Players in a Collaborative Virtual Reality Gameplay

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Wearable Emotion Recognition System based on GSR and PPG Signals

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Emotion Classification Using EEG Signals

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A Sequential Procedure for Individual Identity Verification Using ECG

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Emotion Recognition Based on Weighted Fusion Strategy of Multichannel Physiological Signals

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

inferredcites →https://doi.org/10.1515/cait-2016-0032openalex-snapshot

Adaptation in Affective Video Games: A Literature Review

inferredcites →https://doi.org/10.18725/oparu-16429openalex-snapshot

Analysis of machine learning algorithms for the recognition of basic emotions : data mining of psychophysiological sensor information

inferredcites →https://doi.org/10.21917/ijct.2018.0265openalex-snapshot

EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW

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Assessing emotional responses induced in virtual reality using a consumer EEG headset: A preliminary report

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An Ensemble Learning Approach for Electrocardiogram Sensor Based Human Emotion Recognition

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Emotion Recognition in Human Computer Interaction Systems

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EMOTION RECOGNITION FROM HEART RATE VARIABILITY WITH A HYBRID SYSTEM COMBINED HIDDEN MARKOV MODEL AND POINCARE PLOT

inferred← citeshttps://doi.org/10.35784/iapgos.7627openalex-snapshot

Enhancing driver safety with ECG-based emotion recognition using BiLSTM networks

inferred← citeshttps://doi.org/10.4018/978-1-6684-5673-6.ch002openalex-snapshot

Emotion Detection and Classification Using Machine Learning Techniques

inferred← citeshttps://doi.org/10.5812/jhealthscope-132613openalex-snapshot

Emotionally Loaded Visual Stimuli to Alter Brain Arousal: A Flicker Fusion Study

inferred← citeshttps://doi.org/10.5815/ijmsc.2025.02.04openalex-snapshot

BiLSTM-Powered Emotion Recognition from ECG and GSR Signals

inferred← citeshttps://doi.org/10.5829/ije.2023.36.06c.02openalex-snapshot

Real Time Emotion Recognition with AD8232 ECG Sensor for Classwise Performance Evaluation of Machine Learning Methods

inferred← citeshttps://doi.org/10.65050/rcc.v8n2a6openalex-snapshot

¿PUEDE LA PIEL REVELAR LOS SECRETOS DEL CEREBRO ENFERMO? EL INTERESANTE MUNDO DE LA GSR EN NEUROLOGÍA

inferred← citeshttps://doi.org/10.70675/c9b8ac1fz1871z49b7z882dz3246717a0b25openalex-snapshot

Development of a Smart Telehealth Platform

inferred← citeshttps://doi.org/10.7717/peerj-cs.1472openalex-snapshot

An artificial intelligence-based classifier for musical emotion expression in media education

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