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Brain Signals Classification Based on Fuzzy Lattice Reasoning

Author

Listed:
  • Eleni Vrochidou

    (HUMAIN-Lab, International Hellenic University (IHU), 65404 Kavala, Greece)

  • Chris Lytridis

    (HUMAIN-Lab, International Hellenic University (IHU), 65404 Kavala, Greece)

  • Christos Bazinas

    (HUMAIN-Lab, International Hellenic University (IHU), 65404 Kavala, Greece)

  • George A. Papakostas

    (HUMAIN-Lab, International Hellenic University (IHU), 65404 Kavala, Greece)

  • Hiroaki Wagatsuma

    (Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu 808-0135, Japan
    RIKEN Center for Brain Science, Saitama 351-0106, Japan)

  • Vassilis G. Kaburlasos

    (HUMAIN-Lab, International Hellenic University (IHU), 65404 Kavala, Greece)

Abstract

Cyber-Physical System (CPS) applications including human-robot interaction call for automated reasoning for rational decision-making. In the latter context, typically, audio-visual signals are employed. Τhis work considers brain signals for emotion recognition towards an effective human-robot interaction. An ElectroEncephaloGraphy (EEG) signal here is represented by an Intervals’ Number (IN). An IN-based, optimizable parametric k Nearest Neighbor ( k NN) classifier scheme for decision-making by fuzzy lattice reasoning (FLR) is proposed, where the conventional distance between two points is replaced by a fuzzy order function ( σ ) for reasoning-by-analogy. A main advantage of the employment of INs is that no ad hoc feature extraction is required since an IN may represent all-order data statistics, the latter are the features considered implicitly. Four different fuzzy order functions are employed in this work. Experimental results demonstrate comparably the good performance of the proposed techniques.

Suggested Citation

  • Eleni Vrochidou & Chris Lytridis & Christos Bazinas & George A. Papakostas & Hiroaki Wagatsuma & Vassilis G. Kaburlasos, 2021. "Brain Signals Classification Based on Fuzzy Lattice Reasoning," Mathematics, MDPI, vol. 9(9), pages 1-16, May.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:1063-:d:551082
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