Title :
Towards wireless emotional valence detection from EEG
Author :
Brown, Lindsay ; Grundlehner, Bernard ; Penders, Julien
Author_Institution :
Holst Centre, Imec, Eindhoven, Netherlands
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Intelligent affective computers can have many medical and non-medical applications. However today´s affective computers are limited in scope by their transferability to other application environments or that they monitor only one aspect of physiological emotion expression. Here, the use of a wireless EEG system, which can be implemented in a body area network, is used to investigate the potential of monitoring emotional valence in EEG, for application in real-life situations. The results show 82% accuracy for automatic classification of positive, negative and neutral valence based on film clip viewing, using features containing information on both the frequency content of the EEG and how this changes over time.
Keywords :
behavioural sciences; body area networks; electroencephalography; emotion recognition; medical signal processing; signal classification; wireless sensor networks; EEG frequency content; body area network; intelligent affective computers; negative valence; neutral valence; physiological emotion expression; positive valence; wireless EEG system; wireless emotional valence detection; Accuracy; Biomedical monitoring; Electrodes; Electroencephalography; Films; Monitoring; Wireless communication; Adult; Algorithms; Artificial Intelligence; Electroencephalography; Emotions; Female; Humans; Male; Monitoring, Ambulatory; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Detection, Psychological; Telemetry;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090412
