Author(s): Wang, YJ (Wang, Yijun); Nakanishi, M (Nakanishi, Masaki); Zhang, D (Zhang, Dan)
Edited by: Zheng X
Source: NEURAL INTERFACE: FRONTIERS AND APPLICATIONS Book Series: Advances in Experimental Medicine and Biology Volume: 1101 Pages: 41-65 DOI: 10.1007/978-981-13-2050-7_2 Published: 2019
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.
Accession Number: WOS:000516528700003
PubMed ID: 31729671
ISSN: 0065-2598
eISSN: 2214-8019
ISBN: 978-981-13-2050-7; 978-981-13-2049-1
Book DOI: 10.1007/978-981-13-2050-7
Full Text: https://link.springer.com/chapter/10.1007%2F978-981-13-2050-7_2