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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Acknowledgments
This study was supported by Program for Science and Technology of Henan Province of China (Grant No. 182102210099, 192102310026) and National Innovation and Entrepreneurship Training Program for College Students (Grant No. 201810918001).
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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: Deng, Z. (eds) Proceedings of 2019 Chinese Intelligent Automation Conference. CIAC 2019. Lecture Notes in Electrical Engineering, vol 586. Springer, Singapore. https://doi.org/10.1007/978-981-32-9050-1_7
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DOI: https://doi.org/10.1007/978-981-32-9050-1_7
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