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Facial EMG as a tool for inferring affective states

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Emotion and Mood Recognition Heart Rate Variability and Autonomic Control Muscle activation and electromyography studies

Abstract

In this presentation, I will give a concise overview of several important methodological aspects of recording facial EMG signals as an index of affective states. In addition, several strengths and weaknesses of this technique during practical applications will be emphasized. Author Keywords Facial EMG, EMG recording, EMG signal processing, Emotion.

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References

2003Effects of positive and negative affect on electromyographic activity over zygomaticus major and corrugator supercilii 1992Unobservable Facial Actions and Emotion

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2015Motor, affective and cognitive empathy in adolescence: Interrelations between facial electromyography and self-reported trait and state measures 2011Repeatability of facial electromyography (EMG) activity over corrugator supercilii and zygomaticus major on differentiating various emotions 2013Emotion recognition from facial EMG signals using higher order statistics and principal component analysis 2020A study of neuromarketing techniques for proposing cost effective information driven framework for decision making 2019Empathy in Facial Mimicry of Fear and Disgust: Simultaneous EMG-fMRI Recordings During Observation of Static and Dynamic Facial Expressions 2014Objectifying Facial Expressivity Assessment of Parkinson’s Patients: Preliminary Study 2017Understanding mixed emotions: paradigms and measures 2018Emotion in Stories: Facial EMG Evidence for Both Mental Simulation and Moral Evaluation

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