In this paper we investigate the use of EEG to detect the affective state of humor. The EEG of five subjects was recorded while they recalled humorous videos. Extracted frequency features were compared to a control state in which users where asked to remain in a neutral mental state. An ANOVA test performed on the two groups: neutral and humor recall found a statistically significant difference in the frequency range 28-32 Hz for a number of channels including T7 and P7. Both of which presented the greatest statistically significant results with p values of 0.009 and 0.0 respectively Furthermore, we demonstrate that these mental states can be classified using Principal Component Analysis followed by a 3 features Linear Discriminant Analysis resulting in a leave one out classification accuracy of 95%.
Original languageEnglish
Title of host publicationEngineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
PublisherInstitute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)978-1-4244-9271-8
ISBN (Print)978-1-4244-9269-5
Publication statusPublished - 5 Nov 2015
Event37th Annual Conference of the IEEE Engineering in Medicine and Biology Society (2015): Biomedical Engineering - a Bridge to improve the Quality of Health Care and the Quality of Life - MiCo - Milano Conference Center, Milan, Italy
Duration: 25 Aug 201529 Aug 2015


Conference37th Annual Conference of the IEEE Engineering in Medicine and Biology Society (2015)
Abbreviated titleEMBC 2015
Internet address

    Research areas

  • electroencephalography, Temporal lobe, feature extraction, Analysis of Variance, Accuracy, Computers, Emotion recognition, signal classification, bioelectric potentials, medical disorders, medical signal detection, neurophysiology, principal component analysis

ID: 347811