Abstract
Human authentication based on electrical bio-signals, or bioelectrical signals, is a rapidly growing research area due to increasing demand for establishing the identity of a person, with high confidence, in a number of applications in our vastly interconnected society. Studies show that bioelectrical signals can be not only employed for diagnostic purposes in medicine, but also used in human authentication since they have unique features among individuals. This article reviews examples of up-to-date researches that have applied bioelectrical signals like Electrocardiogram (ECG), Electroencephalogram (EEG) and Electrooculogram (EOG) in human authentication. Utilizing bioelectrical signals provides a novel approach to user authentication that contains all the crucial attributes of previous traditional authentication. The most significant reasons for deployment of electrical bio-signals in user authentication include their measurability, uniqueness, universality and resistance to spoofing, while other conventional biometrics like face shape, hand shape, fingerprint and voice can be artificially generated.
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References
Enderle JD, Bronzino JD (2012) Introduction to biomedical engineering. Academic press
Pal A, Gautam AK, Singh YN (2015) Evaluation of bioelectric signals for human recognition. Procedia Comput Sci 41:747–753
Van Den Broek EL, Spitters M (2013) Physiological signals: the next generation authentication and identification methods?. In: 2013 European intelligence and security informatics conference (EISIC). IEEE, pp 159–162
Singh YN, Singh SK, Ray AK (2012) Bioelectrical signals as emerging biometrics: issues and challenges. ISRN Sig Process 2012
Jain AK, Ross AA, Nandakumar K (2011) Introduction to biometrics. Springer Science & Business Media
Matsumoto T, Matsumoto H, Yamada K, Hoshino S (2002) Impact of artificial gummy fingers on fingerprint systems. In: electronic imaging 2002. International Society for Optics and Photonics, pp 275–219
Roberts C (2007) Biometric attack vectors and defences. Comput Secur 26(1):14–25
Hadjileontiadis LJ (2006) Biosignals and compression standards. In: M-Health. Springer US, pp 277–292
Dey M, Dey N, Mahata SK, Chakraborty S, Acharjee S, Das A (2014) Electrocardiogram feature based inter-human biometric authentication system. In: 2014 international conference on electronic systems, signal processing and computing technologies (ICESC). IEEE, pp 355–354
Gui Q, Jin Z, Xu W (2014) Exploring EEG-based biometrics for user identification and authentication. In: 2014 IEEE signal processing in medicine and biology symposium (SPMB). IEEE, pp 1–6
Nakanishi I, Baba S, Miyamoto C (2009) EEG based biometric authentication using new spectral features. In: International symposium on intelligent signal processing and communication systems, 2009. ISPACS 2009. IEEE, pp 651–654
Liu S, Bai Y, Liu J, Qi H, Li P, Zhao X, … Li Q (2014) Individual feature extraction and identification on EEG signals in relax and visual evoked tasks. In: Biomedical informatics and technology. Springer, Berlin, Heidelberg, pp 355–311
Israel SA, Irvine JM, Cheng A, Wiederhold MD, Wiederhold BK (2000) ECG to identify individuals. Pattern Recogn 31(1):133–142
Matos A C, Lourenço A, Nascimento J (2014) Embedded system for individual recognition based on ECG biometrics. Procedia Technol 17:265–272
Abo-Zahhad M, Ahmed SM, Abbas SN (2015) A novel biometric approach for human identification and verification using eye blinking signal. Signal Process Lett IEEE 22(7):176–115
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Aghili, H. (2019). Bioelectrical Signals: A Novel Approach Towards Human Authentication. In: Montaser Kouhsari, S. (eds) Fundamental Research in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 480. Springer, Singapore. https://doi.org/10.1007/978-981-10-8672-4_1
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DOI: https://doi.org/10.1007/978-981-10-8672-4_1
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