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International Joint Conference on Biomedical Engineering Systems and Technologies

BIOSTEC 2011: Biomedical Engineering Systems and Technologies pp 258–272Cite as

Fractal-Based Brain State Recognition from EEG in Human Computer Interaction

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 273))

Abstract

Real-time brain states recognition from Electroencephalogram (EEG) could add a new dimension in an immersive human-computer interaction. As EEG signal is considered to have a fractal nature, we proposed and developed a general fractal based spatio-temporal approach to brain states recognition including the concentration level, stress level, and emotion recognition. Our hypothesis is that changes of fractal dimension values of EEG over time correspond to the brain states changes. Overall brain state recognition algorithms were proposed and described. Fractal dimension values were calculated by the implemented Higuchi and Box-counting methods. Real-time subject-dependent classification algorithms based on threshold FD values calculated during a short training session were proposed and implemented. Based on the proposed real-time algorithms, neurofeedback games for concentration and stress management training such as “Brain Chi”, “Dancing Robot”, “Escape”, and “Apples”, and emotion-enabled applications such as emotion-enabled avatar, music therapy, and emotion-based search were designed and implemented.

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Author information

Authors and Affiliations

  1. Nanyang Technological University, Nanyang Ave, Singapore

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

Authors
  1. Olga Sourina
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  2. Qiang Wang
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  3. Yisi Liu
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  4. Minh Khoa Nguyen
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Editor information

Editors and Affiliations

  1. IST - Technical University of Lisbon, Av.Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  2. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  3. Institute of Telecommunications, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal

    Hugo Gamboa

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Sourina, O., Wang, Q., Liu, Y., Nguyen, M.K. (2013). Fractal-Based Brain State Recognition from EEG in Human Computer Interaction. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2011. Communications in Computer and Information Science, vol 273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29752-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-29752-6_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29751-9

  • Online ISBN: 978-3-642-29752-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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