Emotional States Estimation from Multichannel EEG Maps

  • Tomasz M. Rutkowski
  • Andrzej Cichocki
  • Anca L. Ralescu
  • Danilo P. Mandic


The notion of emotional empathy, that is the estimation of responses from electrophysiological signals has recently gained attention among the designers of brain computer/machine interfaces (BCI/BMI). This is largely due to the relative simplicity and convenience of electroencephalograph (EEG) recordings. Whereas this problem is not entirely new, engineering approaches connecting the emotional states of humans and the observed EEG recordings are still in their infancy. In this paper we present an initial set of results on the estimation of basic emotional responses generated while watching short videos with dynamic emotional contents. A novel multichannel EEG analysis approach is proposed in order to discover representative components of the emotional responses. This is achieved based on distinct spatial patterns exhibited within the EEG data recorded over frontal lobes, and averaged over a number of trials and subjects. Simulation results support the proposed approach, and confirm the initial hypothesis.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Adler, R.B., Rodman, G.: Undestanding Human Communication. Oxford University Press (2003).Google Scholar
  2. 2.
    Pease, A., Pease, B.: The definitive book of body language - How to read others’ thoughts by their gestures. Pease International (2004).Google Scholar
  3. 3.
    Ahern, G.L., Schwartz, G.E.: Differential lateralization for positive and negative emotion in the human brain: {EEG} spectral analysis. Neuropsychologia 23(6) (1985) 745–755.PubMedCrossRefGoogle Scholar
  4. 4.
    Coan, J.A., Allen, J.J.B.: Frontal EEG asymmetry as a moderator and mediator of emotion. Biological Psychology 67(1–2) (2004) 7–50.PubMedCrossRefGoogle Scholar
  5. 5.
    Esslen, M., Pascual-Marqui, R.D., Hell, D., Kochi, K., Lehmann, D.: Brain areas and time course of emotional processing. NeuroImage 21(4) (2004) 1189–1203.PubMedCrossRefGoogle Scholar
  6. 6.
    Baron-Cohen, S.: Mind Reading - The Interactive Guide to Emotions. Jessica Kingsley Publishers, London, UK (2004).Google Scholar
  7. 7.
    Dimberg, U ., Thunberg, E., Elmhed, K.: Unconscious facial reactions to emotional expressions. Psychological Scieance 11(1) (2000) 149–182.Google Scholar
  8. 8.
    Niedermeyer, E., Da Silva, F.L., eds.: Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. 5 edn. Lippincott Williams & Wilkins (2004).Google Scholar
  9. 9.
    Huang, N., Shen, Z., Long, S., Wu, M., Shih, H., Zheng, Q., Yen, N.C., Tung, C., Liu, H.: The empirical mode decomposition and the {Hilbert} spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 454(1971) (March 1998) 903–995.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Tomasz M. Rutkowski
    • 1
  • Andrzej Cichocki
  • Anca L. Ralescu
  • Danilo P. Mandic
  1. 1.Brain Science Institute RIKENWako-shiJapan

Personalised recommendations