Extension of Performativity by a BCI
Keywords:
BCI, EED-based prediction of emotions, performativity, interactive theatre, participatory art, computer generation of musicAbstract
In the project inter@FAŢA, the creative team developed various algorithms for the generation of music, starting from real time monitored EEG. Among the music generating algorithms, together with other models, an EEG alpha spectrum analysis software was used, which was based on the difference of valence of sensors AF3-AF4. The post-performance analysis signals the correlation of these valence changes (change of potential difference between the left and right brain hemispheres) with the most intense moments of the performance and, respectively, with the most marked alternations of performance styles. The use of music and of the background sound produced, based on the EEG, emphasizes, thus, a deep, stable structure of the performance, measurable and reproducible in a number of performances. The spectator’s emotional participation is thus removed from its shroud of invisibility, and it becomes an element of visible action, accessible to other spectators. This paper looks into the work stage of the project in 2014; at present, it is developed according to the conclusions described herein.
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