Chapter

Knowledge-Based Intelligent Information and Engineering Systems

Volume 4253 of the series Lecture Notes in Computer Science pp 1232-1239

Auditory Feedback for Brain Computer Interface Management – An EEG Data Sonification Approach

  • Tomasz M. RutkowskiAffiliated withLaboratory for Advanced Brain Signal Processing, Brain Science Institute RIKEN
  • , Francois VialatteAffiliated withLaboratory for Advanced Brain Signal Processing, Brain Science Institute RIKEN
  • , Andrzej CichockiAffiliated withLaboratory for Advanced Brain Signal Processing, Brain Science Institute RIKEN
  • , Danilo P. MandicAffiliated withDepartment of Electrical and Electronic Engineering, Imperial College London
  • , Allan Kardec BarrosAffiliated withLaboratory for Biological Information Processing, Universidade Federal do Maranhāo

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Abstract

An auditory feedback for Brain Computer Interface (BCI) applications is proposed. This is achieved based on the so-called sonification of the mental states of humans, captured by Electro-Encephalogram (EEG) recordings. Two time-frequency signal decomposition techniques, the Bump Modelling and Empirical Mode Decomposition (EMD), are used to map the EEG recordings onto musical scores. This auditory feedback proves to have extremely high potential in the development of on-line BCI interfaces. Examples based on the responses from visual stimuli support the analysis.