Olga Sourina, Qiang Wang, Yisi Liu, Minh Khoa Nguyen


EEG-based immersion is a new direction in research and development on human computer interfaces. It has attracted recently more attention from the research community and industry as wireless EEG reading devices became easily available on the market. EEG-based technology has been applied in anaesthesiology, psychology, serious games or even in marketing. As EEG signal is considered to have a fractal nature, we proposed and developed a novel spatio-temporal fractal based approach to the brain state quantification. The real-time algorithms of emotion recognition and concentration level recognition were implemented and integrated in human-computer interfaces of EEG-enable applications. In this paper, EEG-based “serious” games for concentration training and emotion-enable applications including emotion-based music therapy on the Web were proposed and implemented.


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Paper Citation

in Harvard Style

Sourina O., Wang Q., Liu Y. and Nguyen M. (2011). A REAL-TIME FRACTAL-BASED BRAIN STATE RECOGNITION FROM EEG AND ITS APPLICATIONS . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 82-90. DOI: 10.5220/0003335300820090

in Bibtex Style

author={Olga Sourina and Qiang Wang and Yisi Liu and Minh Khoa Nguyen},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
SN - 978-989-8425-35-5
AU - Sourina O.
AU - Wang Q.
AU - Liu Y.
AU - Nguyen M.
PY - 2011
SP - 82
EP - 90
DO - 10.5220/0003335300820090