Abstract
In recent times, Brain Computer Interface (BCI) applications have progressed as biometric authentication systems. Existing systems each follow the fundamental concepts of ensuring a user can be successfully authenticated into it. This comes with the complexity of developing systems that prevent a user’s data from being at risk. Furthermore, with each new integration to make these systems more secure, they may lead to ethical concerns that should be discussed to better understand if they will be beneficial to individuals in their daily life. The discussion of ethical concerns of BCI authentication systems is the primary purpose of this paper. We also present an implemented prototype and discuss its potential ethical concerns that could be addressed in future work.
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Abouelmehdi, K., Beni-Hessane, A., Khaloufi, H.: Big healthcare data: preserving security and privacy. J. Big Data 5(1), 1–18 (2018). https://doi.org/10.1186/s40537-017-0110-7
Aggarwal, S., Chugh, N.: Signal processing techniques for motor imagery brain computer interface: a review. Array 1, 100003 (2019)
Al-Saegh, A., Dawwd, S.A., Abdul-Jabbar, J.M.: Deep learning for motor imagery EEG-based classification: a review. Biomed. Signal Process. Control 63, 102172 (2021)
Coin, A., Mulder, M., Dubljević, V.: Ethical aspects of BCI technology: what is the state of the art? Philosophies 5(4), 31 (2020)
Ekandem, J.I., Davis, T.A., Alvarez, I., James, M.T., Gilbert, J.E.: Evaluating the ergonomics of BCI devices for research and experimentation. Ergonomics 55(5), 592–598 (2012)
Fisher, R.S., Harding, G., Erba, G., Barkley, G.L., Wilkins, A.: Photic-and pattern-induced seizures: a review for the epilepsy foundation of America working group. Epilepsia 46(9), 1426–1441 (2005)
Gembler, F., Stawicki, P., Volosyak, I.: Exploring the possibilities and limitations of multitarget SSVEP-based BCI applications. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1488–1491. IEEE (2016)
Guger, C., Krausz, G., Allison, B.Z., Edlinger, G.: Comparison of dry and gel based electrodes for p300 brain-computer interfaces. Front. Neurosci. 6, 60 (2012)
Haselager, P., Vlek, R., Hill, J., Nijboer, F.: A note on ethical aspects of BCI. Neural Netw. 22(9), 1352–1357 (2009)
Marcel, S., Millán, J.d.R.: Person authentication using brainwaves (EEG) and maximum a posteriori model adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 743–752 (2007)
Padfield, N., Zabalza, J., Zhao, H., Masero, V., Ren, J.: EEG-based brain-computer interfaces using motor-imagery: techniques and challenges. Sensors 19(6), 1423 (2019)
Rui, Z., Yan, Z.: A survey on biometric authentication: toward secure and privacy-preserving identification. IEEE Access 7, 5994–6009 (2018)
Sadeghi, S., Maleki, A.: Adaptive canonical correlation analysis for harmonic stimulation frequencies recognition in SSVEP-based BCIS. Turkish J. Elect. Eng. Comput. Sci. 27(5), 3729–3740 (2019)
Vlek, R.J., et al.: Ethical issues in brain-computer interface research, development, and dissemination. J. Neurol. Phys. Ther. 36(2), 94–99 (2012)
Zerafa, R., Camilleri, T., Falzon, O., Camilleri, K.P.: To train or not to train? A survey on training of feature extraction methods for SSVEP-based BCIS. J. Neural Eng. 15(5), 051001 (2018)
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Lewis, T., Agarwal, R., Andujar, M. (2023). An Ethical Discussion on BCI-Based Authentication. In: Rousseau, JJ., Kapralos, B. (eds) Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. ICPR 2022. Lecture Notes in Computer Science, vol 13646. Springer, Cham. https://doi.org/10.1007/978-3-031-37745-7_12
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