Identification of Emotions through EEG: Elicitation Protocols, Mapping Methods, Signal Processing and Classification Strategies, Applications

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Giuseppe Placidi

University of L'Aquila

Daniela Iacoviello

Sapienza University of Rome

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Emotions recognition has recently become very important in several applications: affective computing, security, empathic robots, brain-inspired robots, human-computer interaction and brain computer interfaces (neural and cognitive prostheses), neurology and psychology. Usually, emotions are captured by measuring external personal behavior, facial expressions, eye movements, sweating, heartbeat rate, tremor, etc. through different measuring systems.

However, these parameters, though numerous, are not sufficient or cannot explain the whole set of emotions. Moreover, they could be deceived. Imagine what could occur when using a “truth machine".

EEG is a non-invasive technique that can be effectively used for registering the true electrical activity generated by emotions, and could be sufficient, alone, for capturing emotions. The proposed Research Topic aims at unambiguously identifying the emotions from EEG signals.

We welcome contributions on, but not limited to, the following subjects:
- Unbiased elicitation protocols and tasks
- Brain-bandwidth mapping strategies
- Design and test of innovative and efficient signal processing
- Classification strategies

The papers should be in the form of original research articles, review articles, technology reports and evaluation and comparison of technologies, case reports, also in a short form.

Emotions recognition has recently become very important in several applications: affective computing, security, empathic robots, brain-inspired robots, human-computer interaction and brain computer interfaces (neural and cognitive prostheses), neurology and psychology. Usually, emotions are captured by measuring external personal behavior, facial expressions, eye movements, sweating, heartbeat rate, tremor, etc. through different measuring systems.

However, these parameters, though numerous, are not sufficient or cannot explain the whole set of emotions. Moreover, they could be deceived. Imagine what could occur when using a “truth machine".

EEG is a non-invasive technique that can be effectively used for registering the true electrical activity generated by emotions, and could be sufficient, alone, for capturing emotions. The proposed Research Topic aims at unambiguously identifying the emotions from EEG signals.

We welcome contributions on, but not limited to, the following subjects:
- Unbiased elicitation protocols and tasks
- Brain-bandwidth mapping strategies
- Design and test of innovative and efficient signal processing
- Classification strategies

The papers should be in the form of original research articles, review articles, technology reports and evaluation and comparison of technologies, case reports, also in a short form.

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Editors

Giuseppe Placidi

University of L'Aquila

Daniela Iacoviello

Sapienza University of Rome

Impact

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Frontiers in Computational Neuroscience

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Frontiers in Behavioral Neuroscience

Behavioral Neuroscience Archive, Emotion Regulation and Processing, Behavioral Endocrinology, Individual and Social Behaviors, Learning and Memory, Motivation and Reward, Pathological Conditions

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Frontiers in Human Neuroscience

Human Neuroscience Archive, Cognitive Neuroscience, Sensory Neuroscience

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Frontiers in Neuroscience

Neuroprosthetics, Brain Imaging Methods, Neural Technology

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Frontiers in Neuroimaging

Brain Imaging Methods

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Frontiers in Neurology

Neuroprosthetics, Brain Imaging Methods

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Frontiers in Neuroinformatics

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Frontiers in Neurorobotics

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