Signal Detection, Processing and Challenges of Non-invasive Brain-Computer Interface Technology

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Abstract

Non-invasive brain-computer interface (BCI) technology is becoming more and more popular in current BCI application study due to its safety, non-invasive and low cost. The main problem of non-invasive BCI technology is that the spatial resolution of signal is low and it is easy to be drowned by noise. Therefore, this paper reviews the key technologies and the existing challenges of non-invasive BCI technology from the aspect of signal detection and processing, and discusses its future application prospects. However, it is still a great challenge for non-invasive BCI technology to become the mainstream in the future.

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Li, X., Chen, F., Jia, Y., & Liu, X. (2020). Signal Detection, Processing and Challenges of Non-invasive Brain-Computer Interface Technology. In Lecture Notes in Electrical Engineering (Vol. 586, pp. 60–67). Springer Verlag. https://doi.org/10.1007/978-981-32-9050-1_7

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