1. ECG based person identification
l The cardiovascular system offers a variety of physiological signals that can be used as biometrics
l While modality such as the ECG is still relatively novel, it is increasingly garnering acceptance as a useful biometric tool, due to some unique characteristics
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l Each person has slightly different ECG waveforms. It also shows a changing waveform within the same person
l Novel signal processing algorithms are being studied that maximize inter-variability and minimize intra-variability
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2. EEG based person identification
l The neuronal circuit in the brain has a unique connection form that varies from person to person
l Electroencephalogram (EEG) also shows a unique pattern for each person during the EEG task
l Convolutional neural network (CNN) and other deep learning methods can be used to compare and analyze EEG spectrums (image) to find unique patterns for each person
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