Journal ArticleDOI
Valence, arousal and dominance in the EEG during game play
TLDR
The investigation of traces of naturally occurring emotions in electrical brain signals, that can be used to build interfaces that respond to the authors' emotional state, confirms a number of known affective correlates in a realistic, uncontrolled environment for the emotions of valence, arousal and dominance.Abstract:
In this paper, we describe our investigation of traces of naturally occurring emotions in electrical brain signals, that can be used to build interfaces that respond to our emotional state. This study confirms a number of known affective correlates in a realistic, uncontrolled environment for the emotions of valence (or pleasure), arousal and dominance: (1) a significant decrease in frontal power in the theta range is found for increasingly positive valence, (2) a significant frontal increase in power in the alpha range is associated with increasing emotional arousal, (3) a significant right posterior power increase in the delta range correlates with increasing arousal and (4) asymmetry in power in the lower alpha bands correlates with self-reported valence. Furthermore, asymmetry in the higher alpha bands correlates with self-reported dominance. These last two effects provide a simple measure for subjective feelings of pleasure and feelings of control.read more
Citations
More filters
Journal ArticleDOI
Feature Extraction and Selection for Emotion Recognition from EEG
TL;DR: This work reviews feature extraction methods for emotion recognition from EEG based on 33 studies, and results suggest preference to locations over parietal and centro-parietal lobes.
Journal ArticleDOI
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
TL;DR: It is shown that there is a growing body of literature that evidences the capabilities, but also the limitations and challenges of affect detection from neurophysiological activity, and possible applications of aBCI in a general taxonomy of brain-computer interface approaches.
Journal ArticleDOI
Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain.
TL;DR: The classification accuracy of the proposed method is compared with several classical techniques, including fractal dimension (FD), sample entropy, differential entropy, and discrete wavelet transform (DWT), and demonstrates that the method can improve emotion recognition performance.
Proceedings ArticleDOI
Stuck and frustrated or in flow and happy: sensing developers' emotions and progress
Sebastian Müller,Thomas Fritz +1 more
TL;DR: The results show that the wide range of emotions experienced by developers is correlated with their perceived progress on the change tasks and can build a classifier to distinguish between positive and negative emotions in 71.36% of all cases.
Journal ArticleDOI
EEG-based workload estimation across affective contexts
TL;DR: It is shown that the classifiers are able to transfer between affective contexts, though performance suffers independent of the used feature domain, and cross-context training is a simple and powerful remedy allowing the extraction of features in all studied feature varieties that are more resilient to task-unrelated variations in signal characteristics.
References
More filters
Journal ArticleDOI
Measuring emotion: The self-assessment manikin and the semantic differential
Margaret M. Bradley,Peter Lang +1 more
TL;DR: Reports of affective experience obtained using SAM are compared to the Semantic Differential scale devised by Mehrabian and Russell (An approach to environmental psychology, 1974), which requires 18 different ratings.
Journal ArticleDOI
Event-related EEG/MEG synchronization and desynchronization: basic principles.
TL;DR: Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously.
Book
Affective Computing
TL;DR: Key issues in affective computing, " computing that relates to, arises from, or influences emotions", are presented and new applications are presented for computer-assisted learning, perceptual information retrieval, arts and entertainment, and human health and interaction.
Journal ArticleDOI
Looking at pictures: affective, facial, visceral, and behavioral reactions
TL;DR: Responsibility specificity, particularly facial expressiveness, supported the view that specific affects have unique patterns of reactivity, and consistency of the dimensional relationships between evaluative judgments and physiological response emphasizes that emotion is fundamentally organized by these motivational parameters.