EEG analysis for implicit tagging of video data

Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Volumn , Issue , 2009, Pages

  Koelstra, Sander ^a   Mühl, Christian ^b   Patras, Ioannis ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; EEG ANALYSIS; EVENT RELATED POTENTIALS; FEEDBACK MECHANISMS; MULTIMEDIA INDEXING AND RETRIEVAL; PHYSIOLOGICAL INDICATORS; REPEATED MEASURES; VIDEO CONTENTS; VIDEO DATA; VISION-BASED RECOGNITION SYSTEM;

BLIND SOURCE SEPARATION; ELECTROENCEPHALOGRAPHY; INTELLIGENT COMPUTING; VIDEO RECORDING; VISUAL COMMUNICATION;

INDEPENDENT COMPONENT ANALYSIS;

EID: 77949353240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACII.2009.5349482     Document Type: Conference Paper

References (14)

1. V. Bostanov and B. Kotchoubey. The t-CWT: A new ERP detection and quantification method based on the continuous wavelet transform and Students t-statistics. Clinical Neurophysiology, 117(12):2627-2644, 2006.
2. J. Carletta. Unleashing the killer corpus: experiences in creating the multi-everything AMI Meeting Corpus. Language Resources and Evaluation, 41(2):181-190, 2007.
3. A. Cowell, K. Hale, C. Berka, S. Fuchs, A. Baskin, D. Jones, G. Davis, R. Johnson, R. Patch, and E.Marshall. Brainwave-Based Imagery Analysis. Digital Human Modeling: Trends in Human Algorithms, pages 17-27, 2008.
4. A. Cummings, R. Čeponienė, A. Koyama, A. Saygin, J. Townsend, and F. Dick. Auditory semantic networks for words and natural sounds. Brain research, 1115(1):92-107, 2006.
5. P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In IEEE Int'l Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pages 65-72, 2005.
6. A. Gerson, L. Parra, and P. Sajda. Cortically coupled computer vision for rapid image search. IEEE Trans. Neural Systems and Rehabilitation Engineering, 14(2):174-179, 2006.
7. B. Kamousi, Z. Liu, and B. He. Classification of motor imagery tasks for brain-computer interface applications by means of two equivalent dipoles analysis. IEEE Trans. on Neural Systems and Rehabilitation Engineering, 13(2):166-171, 2005.
8. A. Kapoor, P. Shenoy, and D. Tan. Combining Brain Computer Interfaces with Vision for Object Categorization. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.
9. S. Koelsch, E. Kasper, D. Sammler, K. Schulze, T. Gunter, and A. Friederici. Music, language and meaning: brain signatures of semantic processing. Nature Neuroscience, 7:302-307, 2004.
10. M. Kutas and S. Hillyard. Event-related brain potentials to grammatical errors and semantic anomalies. Memory & Cognition, 11(5):539-550, 1983.
11. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In IEEE Conference on Computer Vision and Pattern Recognition, 2008.
12. G. Orgs, K. Lange, J. Dombrowski, and M. Heil. Is conceptual priming for environmental sounds obligatory? International Journal of Psychophysiology, 65(2):162-166, 2007.
13. M. Pantic, M. Valstar, R. Rademaker, and L. Maat. Web-based database for facial expression analysis. In Proc. IEEE Int. Conference on Multimedia and Expo, pages 317-321, July 2005.
14. C. van Petten and H. Rheinfelder. Conceptual relationships between spoken words and environmental sounds: Event-related brain potential measures. Neuropsychologia, 33(4):485-508, 1995.