About this Research Topic
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.
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.
Keywords: EEG, emotion identification, protocols, classification, applications
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
