Online recognition of facial actions for natural EEG-based BCI applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6975 LNCS, Issue PART 2, 2011, Pages 436-446

  Heger, Dominic ^a   Putze, Felix ^a   Schultz, Tanja ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FACIAL ACTION; ON-LINE RECOGNITION; QUALITATIVE EVALUATIONS; RECOGNITION ACCURACY; SIGNAL CHARACTERISTIC; SPECTRAL FEATURE; STEP FUNCTIONS; TWO STAGE; FACIAL ACTION RECOGNITION;

FACE RECOGNITION; INTELLIGENT COMPUTING;

INTELLIGENT COMPUTING; FACE RECOGNITION;

EID: 80054836104     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24571-8_56     Document Type: Conference Paper

References (14)

1. Emotiv Software Development Kit User Manual for Release 1.0.0.4
2. Blair, R.: Facial expressions, their communicatory functions and neuro-cognitive substrates. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358(1431), 561 (2003)
3. Boot, L.: Facial expressions in EEG/EMG recordings. Master's thesis, University of Twente (2009)
4. Chin, Z., Ang, K., Guan, C.: Multiclass voluntary facial expression classification based on filter bank common spatial pattern. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2008, pp. 1005-1008. IEEE, Los Alamitos (2008)
5. Croft, R., Barry, R.: Removal of ocular artifact from the eeg: a review. Neurophysiologie Clinique/Clinical Neurophysiology 30(1), 5-19 (2000)
6. Ekman, P., Friesen, W.: Facial action coding system. Consulting Psychologists Press, Stanford University, Palo Alto (1977)
7. Fatourechi, M., Bashashati, A., Ward, R., Birch, G.: Emg and eog artifacts in brain computer interface systems: a survey. Clinical Neurophysiology 118(3), 480-494 (2007)
8. Goncharova, I., McFarland, D., Vaughan, T., Wolpaw, J.: Emg contamination of eeg: spectral and topographical characteristics. Clinical Neurophysiology 114(9), 1580-1593 (2003)
9. Heger, D., Putze, F., Amma, C., Wand, M., Plotkin, I., Wielatt, T., Schultz, T.: BiosignalsStudio: A flexible framework for biosignal capturing and processing. In: Dillmann, R., Beyerer, J., Hanebeck, U.D., Schultz, T. (eds.) KI 2010. LNCS, vol. 6359, pp. 33-39. Springer, Heidelberg (2010)
10. Heger, D., Putze, F., Schultz, T.: An adaptive information system for an empathic robot using EEG data. In: Ge, S.S., Li, H., Cabibihan, J.-J., Tan, Y.K. (eds.) ICSR 2010. LNCS, vol. 6414, pp. 151-160. Springer, Heidelberg (2010)
11. Korb, S., Grandjean, D., Scherer, K.: Investigating the production of emotional facial expressions: a combined electroencephalographic (eeg) and electromyographic (emg) approach. In: 8th IEEE International Conference on Automatic Face Gesture Recognition, FG 2008, pp. 1-6 (September 2008)
12. Vanhatalo, S., Voipio, J., Dewaraja, A., Holmes, M., Miller, J.: Topography and elimination of slow eeg responses related to tongue movements. Neuroimage 20(2), 1419-1423 (2003)
13. Wolpaw, J., Birbaumer, N., McFarland, D., Pfurtscheller, G., Vaughan, T.: Brain-computer interfaces for communication and control. Clinical Neurophysiology 113(6), 767-791 (2002)
14. Zander, T., Kothe, C., Jatzev, S., Gaertner, M.: Enhancing human-computer interaction with input from active and passive brain-computer interfaces. Brain-Computer Interfaces, 181-199 (2010)