Feature Extraction for Emotion Recognition and Modelling Using Neurophysiological Data

Anas Samara, Maria Luiza Recena Menezes, Leo Galway

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)
109 Downloads (Pure)

Abstract

The ubiquitous computing paradigm is becoming a reality; we are reaching a level of automation and computing in which people and devices interact seamlessly. However, one of the main challenges is the difficulty users have in interacting with these increasingly complex systems. Ultimately, endowing machines with the ability to perceive users emotions will enable a more intuitive and reliable interaction. Consequently, using the electroencephalogram (EEG) as a bio-signal sensor, the affective state of a user can be modelled and subsequently utilised in order to achieve a system that can recognise and react to the users emotions. In this context, this paper investigates feature vector generation from EEG signals for the purpose of affective state modelling based on Russells Circumplex Model. Investigations are presented that aim to provide the foundation for future work in modelling user affect and interaction experiences through exploitation of different input modalities. The DEAP dataset was used within this work, along with a Support Vector Machine, which yielded reasonable classification accuracies for Valence and Arousal using feature vectors based on statistical measurements and band power from the α, β, δ, and θ waves and High Order Crossing of the EEG signal.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages138-144
Number of pages7
Volume0
ISBN (Print)978-1-5090-5566-1
DOIs
Publication statusE-pub ahead of print - 1 Jan 2017
Event15th International Conference on Ubiquitous Computing and 8th Communications and International Symposium on Cyberspace Safety and Security, IUCC-CSS 2016, Granada, Spain, December 14-16, 2016 - Granada, Spain
Duration: 1 Jan 2017 → …

Conference

Conference15th International Conference on Ubiquitous Computing and 8th Communications and International Symposium on Cyberspace Safety and Security, IUCC-CSS 2016, Granada, Spain, December 14-16, 2016
Period1/01/17 → …

Keywords

  • Feature Extraction
  • EEG
  • Bio-signal Sensor
  • Affective State Modelling

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  • Cite this

    Samara, A., Menezes, M. L. R., & Galway, L. (2017). Feature Extraction for Emotion Recognition and Modelling Using Neurophysiological Data. In Unknown Host Publication (Vol. 0, pp. 138-144). IEEE. https://doi.org/10.1109/IUCC-CSS.2016.027