EEG-Based Brain-Computer Interfaces

Yijun Wang; Masaki Nakanishi; Dan Zhang

doi:10.1007/978-981-13-2050-7_2

EEG-Based Brain-Computer Interfaces

Adv Exp Med Biol. 2019:1101:41-65. doi: 10.1007/978-981-13-2050-7_2.

Authors

Yijun Wang¹, Masaki Nakanishi², Dan Zhang³

Affiliations

¹ Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China. wangyj@semi.ac.cn.
² Institute for Neural Computation, University of California San Diego, San Diego, CA, USA.
³ Department of Psychology, Tsinghua University, Beijing, China.

PMID: 31729671
DOI: 10.1007/978-981-13-2050-7_2

Abstract

Brain-computer interfaces (BCIs) provide a direct communication channel between human brain and output devices. Due to advantages such as non-invasiveness, ease of use, and low cost, electroencephalography (EEG) is the most popular method for current BCIs. This chapter gives an overview of the current EEG-based BCIs for the main purpose of communication and control. This chapter first provides a taxonomy of the EEG-based BCI systems by categorizing them into three major groups: (1) BCIs based on event-related potentials (ERPs), (2) BCIs based on sensorimotor rhythms, and (3) hybrid BCIs. Next, this chapter describes challenges and potential solutions in developing practical BCI systems toward high communication speed, convenient system use, and low user variation. Then this chapter briefly reviews both medical and non-medical applications of current BCIs. Finally, this chapter concludes with a summary of current stage and future perspectives of the EEG-based BCI technology.

Keywords: Brain-computer interfaces; EEG-based BCI; ERP; SSVEP; hybrid BCI.

Publication types

Review

MeSH terms

Brain-Computer Interfaces*
Communication
Electroencephalography*
Evoked Potentials
Humans