Transactions on Affective Computing

IEEE Transactions on Affective Computing (TAC) is intended to be a cross disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. Read the full scope of TAC


Expand your horizons with Colloquium, a monthly survey of abstracts from all CS transactions! Replaces OnlinePlus in January 2017.


From the October-December 2016 issue

Subject-Independent Odor Pleasantness Classification Using Brain and Peripheral Signals

By Eleni Kroupi, Jean-Marc Vesin, and Touradj Ebrahimi

Featured article thumbnail imageEnhanced sensation of reality from multimedia contents can be achieved by creating realistic multimedia environments, using visual, auditory, and olfactory information. Although the affective information from video and audio has been extensively studied, the olfactory sense has received less attention. A way to assess human experience from audio, video or odors, is by investigating physiological signals. In this study, 23 subjects experienced pleasant, unpleasant, and neutral odors while their electroencephalogram (EEG), and electrocardiogram (ECG) were recorded. Two independent three-class classifiers were trained and tested, using EEG or ECG features. The results reveal a significant increase in the classification performance when EEG features were used (Cohen's kappa $k = 0.44\pm 0.14, p<0.001$). The results also indicate that it is possible to automatically classify the perception of unpleasant odors using EEG signals, but the classification performance decreases significantly when classifying between pleasant and neutral odors. Among the EEG features, the Wasserstein distance metric estimated between trial and baseline power achieved the highest classification performance. Features from ECG signals did not result in a significantly non-random performance.

download PDF View the PDF of this article      csdl View this issue in the digital library


Editorials and Announcements

Announcements


Call-for-Papers


Editorials


Guest Editorials


Reviewers List


Access recently published TAC articles

RSS Subscribe to the RSS feed of latest TAC content added to the digital library.

Mail Sign up for the Transactions Connection newsletter.

Access TAC Preprints in the Computer Society digital library


TAC -- Call for Papers cover

View the PDF of TAC's ongoing call-for-papers.

TAC is indexed in ISI