The Analysis of BCI Technology and its Influences on Human-being
DOI:
https://doi.org/10.61173/zpk2dt40Keywords:
Brain-Computer Interface, human, neuroscienceAbstract
With the rapid advancement of neuroscience, computer science, and material science, the studies of the human brain are entering a new era. Brain-Computer Interface (BCI) technology aims to create a direct link between a person’s brain and external devices for more convenient communication. This area is attracting more investigation that falls squarely at the meeting point of neural engineering and artificial intelligence. This article starts with exploring the basics, how BCIs work, and their types, all based on a review of current research. This paper concludes that BCI is a creative way in which humans can connect with computers, with very much potential to benefit human beings in various fields.
References
[1] Nicolelis, M. A. (2001). Actions from thoughts. Nature, 409(6818), 403-407.
[2] Millán, J. D. R., et al. (2010). Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges. Frontiers in neuroscience, 4, 161.
[3] Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002). Brain-computer interfaces for communication and control. Clinical neurophysiology, 113(6), 767-791.
[4] Chaudhary, U., Birbaumer, N., & Ramos-Murguialday, A. (2016). Brain-computer interfaces for communication and rehabilitation. Nature Reviews Neurology , 12(9), 513-525.
[5] Pfurtscheller, G., & Neuper, C. (2001). Motor imagery and direct brain-computer communication. Proceedings of the IEEE, 89(7), 1123-1134.
[6] Lebedev, M. A., & Nicolelis, M. A. (2017). Brainmachine interfaces: From basic science to neuroprostheses and neurorehabilitation. Physiological reviews, 97(2), 767-837.
[7] Hochberg, L. R., et al. (2012). Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature, 485(7398), 372-375.
[8] Schalk, G., & Leuthardt, E. C. (2011). Brain-computer interfaces using electrocorticographic signals. IEEE reviews in biomedical engineering, 4, 140-154.
[9] Lotte, F., et al. (2018). A review of classification algorithms for EEG-based brain-computer interfaces: a 10-year update. Journal of neural engineering, 15(3), 031005.
[10] Silvoni, S., et al. (2011). Brain-computer interface in stroke: a review of progress. Clinical EEG and neuroscience, 42(4), 245-252.
[11] Cattan, G. (2019). The use of brain-computer interfaces in games and virtual reality environments. In Brain-Computer Interfaces Handbook (pp. 633-650). CRC Press.
[12] Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life sciences, society and policy, 13(1), 1-27.
[13] Kellmeyer, P. (2018). Artificial intelligence in basic and clinical neuroscience: opportunities and ethical challenges. Neuroethics, 12(2), 143-145.
[14] Bublitz, J. C. (2019). Novel rights and intellectual freedom in the age of neurotechnology. Journal of Law and the Biosciences, 6(1), 134-148.
[15] Polikov, V. S., Tresco, P. A., & Reichert, W. M. (2005). Response of brain tissue to chronically implanted neural electrodes. Journal of neuroscience methods, 148(1), 1-18.
[16] Bashashati, A., Fatourechi, M., Ward, R. K., & Birch, G. E. (2007). A survey of signal processing algorithms in braincomputer interfaces based on electrical brain signals. Journal of Neural engineering,4(2), R32.
[17] OECD (2019). Neurotechnology and Society: Strengthening Responsible Innovation in Brain Science. OECD Publishing, Paris.
[18] Burwell, S., Sample, M., & Racine, E. (2017). Ethical aspects of brain computer interfaces: a scoping review. BMC medical ethics, 18(1), 1-11.
[19] Yuste, R., et al. (2017). Four ethical priorities for neurotechnologies and AI. Nature, 551(7679), 159-163.
[20] Someya, T., Amagai, M., & Luo, Z. (2021). Toward a new era of biointegrated electronics. Science, 373(6558), eaba6753. Dean&Francis ISSN 2959-409X
[21] Tang, J., et al. (2023). Brain-machine-AI interfaces: The next frontier of human-computer interaction. Nature Machine Intelligence, 5(1), 18-29.
[22] Marchesotti, S., et al. (2020). Restoring communication with locked-in patients using a brain-computer interface. Annals of clinical and translational neurology, 7(5), 829-838.
[23] Nijholt, A. (2015). Compulsive and playful brain-computer interaction. Brain-Computer Interfaces, 2(2-3), 71-75.
[24] IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. (2019). Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems, First Edition. IEEE.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 by the authors.
This work is licensed under a Creative Commons Attribution 4.0 International License.
