Evaluation of Bioelectric Signals for Human Recognition

This paper presents an evaluation of bioelectrical signals to use as a biometric for human recognition. Research shows that the impulses of cardiac rhythm, electrical activity of the brain recorded in Electrocardiogram (ECG) and Electroencephalogram (EEG) signals have unique features among individuals. The other bioelectrical signals such as Galvanic skin response (GSR), Electromyogram (EMG), Electrooculography (EOG) and Mechanomyogram (MMG) also process discriminaly information among individuals, so can be used as biometrics. The favorable characteristics to use these signals as biometrics include universality, measurability, uniqueness and robustness. In addition, they have the inherent feature of vitality that signify the life signs. Bioelectrical signals are highly confidential and secured to an individual. The issues involve using bioelectrical signals as biometrics are the variability of the signal, lack of standardization of signal features and the low energy. However, individuality of the bioelectrical signals is another issue that remains to be addressed. (C) 2015 The Authors. Published by Elsevier B.V.