Reflexive Research on Performance Art Documentation through EEG. A Visual Essay

Marija Griniuk

Research output: Contribution to journalArticleScientificpeer-review

26 Downloads (Pure)


The normatives of performance documentation through writing, photography, audio, and video have not changed since the very beginning of performance art (Griniuk, 2019). The states of relaxation or attention of the performer during live action are not easily captured through photo, video, or sound documentation. Tech-nological developments that have made EEG available on a consumer level within the reflexive research in this paper provide very intimate yet abstract information for the viewer regarding the bodily and mental states of the performance artist during live events. This data can be saved. Documentation provides a detailed record of text- and narrative-based performance art events. This paper presents three cases within the reflexive re-search on the documentation of performance through photography, video, sound recording, and the live brain activity of a performing body recorded and visualised by an EEG device via a program in processing. The aim of the research is to investigate the process of documentation via recording visual images and sounds of the performance art event setup, along with the recording of the performer’s live brain activity. I also explore how this data can be reconstructed after the performance. The reconstruction of data related to a performer’s brain activity for each case-performance is synchronised with the sound and the video footage. The results of this reflexive research can be useful for performance artists who wish to self-document their performances.
Original languageEnglish
Pages (from-to)87-97
JournalResearch in Arts and Education
Issue number2
Publication statusPublished - 2020
MoEC publication typeA1 Journal article-refereed

Field of science

  • Visual arts and design


Dive into the research topics of 'Reflexive Research on Performance Art Documentation through EEG. A Visual Essay'. Together they form a unique fingerprint.

Citation for this output