A scalable and robust system for Audience EEG recordings

  • The neural mechanisms that unfold when humans form a large group defined by an overarching context, such as audiences in theater or sports, are largely unknown and unexplored. This is mainly due to the lack of availability of a scalable system that can record the brain activity from a significantly large portion of such an audience simultaneously. Although the technology for such a system has been readily available for a long time, the high cost as well as the large overhead in human resources and logistic planning have prohibited the development of such a system. However, during the recent years reduction in technology costs and size have led to the emergence of low-cost, consumer-oriented EEG systems, developed primarily for recreational use. Here by combining such a low-cost EEG system with other off-the-shelve hardware and tailor-made software, we develop in the lab and test in a cinema such a scalable EEG hyper-scanning system. The system has a robust and stable performance and achieves accurate unambiguous alignment of the recorded data of the different EEG headsets. These characteristics combined with small preparation time and low-cost make it an ideal candidate for recording large portions of audiences.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Georgios MichalareasORCiD, Ismat M. A. Rudwan, Claudia Lehr, Paolo Gessini, Alessandro TavanoORCiD, Matthias Grabenhorst
URN:urn:nbn:de:hebis:30:3-731396
DOI:https://doi.org/10.1101/2022.12.16.520764
Parent Title (English):bioRxiv
Document Type:Preprint
Language:English
Date of Publication (online):2022/12/17
Date of first Publication:2022/12/17
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/03/20
Issue:2022.12.16.520764
Page Number:32
HeBIS-PPN:506717232
Dewey Decimal Classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International