Abstract
The paper describes an investigation on human attentiveness to emotional video-clips stimuli using Neurosky Mindwave device to measure electric brain cortex signals. Software for video stimuli demonstration to the volunteers was created. LIRIS-ACCEDE database of video clips was used for construction of three experimental sets. Six volunteers participated in the initial tests where their reactions to emotional video clips were recorded in real time. The results showed that there were high correlations between the corresponding parts of the video sequences when neutral or positive video clips have been watched. The reactions to different kinds of emotional stimuli correlated in large diversity.
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References
Zimmermann, P., Guttormsen, S., Danuser, B., Gomez, P.: Affective Computing – A Rationale for Measuring Mood with Mouse and Keyboard. Int. J. Occup. Saf. Ergon. 9(4), 539–551 (2003)
Brave, S., Nass, C., Hutchinson, K.: Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent. Int. J. Human-Computer Studies 62, 161–178 (2005)
Hudlicka, E.: To feel or not to feel: The role of affect in human–computer interaction. International Journal of Human-Computer Studies 59(1–2), 1–32 (2003)
Rached1 T.S., Perkusich A.: Emotion Recognition Based on Brain-Computer Interface Systems, Brain-Computer Interface Systems - Recent Progress and Future Prospects. In: Fazel-Rezai, R. (ed.). InTech (2013) ISBN: 978-953-51-1134-4, doi:10.5772/56227. Available from: http://www.intechopen.com/books/brain-computer-interface-systems-recent-progress-and-future-prospects/emotion-recognition-based-on-brain-computer-interface-systems
Liu, Y., Sourina, O., Nguyen, M.K.: Real-Time EEG-Based Emotion Recognition and Its Applications. In: Gavrilova, M.L., Tan, C., Sourin, A., Sourina, O. (eds.) Transactions on Computational Science XII. LNCS, vol. 6670, pp. 256–277. Springer, Heidelberg (2011)
Neurosky Headset description. http://neurosky.com/
LIRIS-ACCEDE database description. http://liris-accede.ec-lyon.fr/
Rezazadeh, I.M., Firoozabadi, M., Hu, H., Reza Hashemi Golpayegani, S.M.: Co-Adaptive and Affective Human-Machine Interface for Improving Training Performances of Virtual Myoelectric Forearm Prosthesis. IEEE Transactions on Affective Computing 3(3) (2012)
Kim, K.-S.: Effects of emotion control and task on Web searching behavior. Information Processing and Management 44, 373–385 (2008)
Yadati, K., Katti, H., Kankanhalli, M.: CAVVA: Computational Affective Video-in-Video Advertising. IEEE Transactions on Multimedia 16(1), 15 – 23 (2014), doi:10.1109/TMM.2013.2282128
Lewis, S., Dontcheva, M., Gerber, E.: Affective Computational Priming and Creativity. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 735–744 (2011)
Neurosky Headset description. http://store.neurosky.com/products/myndplay
OpenViBE software platform description. http://openvibe.inria.fr/discover/
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Ščiglinskas, E., Vidugirienė, A. (2014). Investigation on Human Attentiveness to Video Clips Using Neurosky and LIRIS-ACCEDE Database. In: De Paolis, L., Mongelli, A. (eds) Augmented and Virtual Reality. AVR 2014. Lecture Notes in Computer Science(), vol 8853. Springer, Cham. https://doi.org/10.1007/978-3-319-13969-2_36
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DOI: https://doi.org/10.1007/978-3-319-13969-2_36
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