Application of EEG in wearable brain-computer interfaces

Wenhao Liu

doi:10.1117/12.2627748

14 March 2022 Application of EEG in wearable brain-computer interfaces

Wenhao Liu

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121651Q (2022) https://doi.org/10.1117/12.2627748
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

The Electroencephalography (EEG) based brain-computer interfaces is a convenient way to use brain waves to investigate different emotions and some mental disorders. With the development of research and design, it is even possible to use brain waves to control devices (such as robot arms) to improve the life of the disabled. On this basis, based on the summary of previous research results, this paper focuses on the analog front-end of wearable brain computer interface (especially electrode and amplifier) and its related algorithms. The algorithms are developed on the basis of some classical machine learning algorithms, which are more suitable for EEG signals like common spatial paternal and long short-term memory network. This article may provide some convenience and inspiration for future development of EEG-based brain-machine interfaces.

Citation Download Citation

Wenhao Liu "Application of EEG in wearable brain-computer interfaces", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121651Q (14 March 2022); https://doi.org/10.1117/12.2627748

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