Wireless sensors for brain activity - a survey

Mahyar Tajdini*, Volodymyr Sokolov, Ievgeniia Kuzminykh, Stavros Shiaeles, Bogdan Ghita

*Corresponding author for this work

Research output: Contribution to journalLiterature reviewpeer-review

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Abstract

Over the last decade, the area of electroencephalography (EEG) witnessed a progressive move from high-end large measurement devices, relying on accurate construction and providing high sensitivity, to miniature hardware, more specifically wireless wearable EEG devices. While accurate, traditional EEG systems need a complex structure and long periods of application time, unwittingly causing discomfort and distress on the users. Given their size and price, aside from their lower sensitivity and narrower spectrum band(s), wearable EEG devices may be used regularly by individuals for continuous collection of user data from non-medical environments. This allows their usage for diverse, nontraditional, non-medical applications, including cognition, BCI, education, and gaming. Given the reduced need for standardization or accuracy, the area remains a rather incipient one, mostly driven by the emergence of new devices that represent the critical link of the innovation chain. In this context, the aim of this study is to provide a holistic assessment of the consumer-grade EEG devices for cognition, BCI, education, and gaming, based on the existing products, the success of their underlying technologies, as benchmarked by the undertaken studies, and their integration with current applications across the four areas. Beyond establishing a reference point, this review also provides the critical and necessary systematic guidance for non-medical EEG research and development efforts at the start of their investigation.

Original languageEnglish
Article number2092
Number of pages26
JournalElectronics (Switzerland)
Volume9
Issue number12
DOIs
Publication statusPublished - 8 Dec 2020

Keywords

  • Brain wave
  • Brain-controlled games
  • Cognition study
  • EEG signals
  • NeuroSky
  • OpenBCI

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