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Functional Connectivity Methods for EEG-based Biometrics on a Large, Heterogeneous Dataset. (arXiv:2206.01475v1 [eess.SP])
June 6, 2022, 1:10 a.m. | Pradeep Kumar G, Utsav Dutta, Kanishka Sharma, Ramakrishnan Angarai Ganesan
cs.LG updates on arXiv.org arxiv.org
This study examines the utility of functional connectivity (FC) and
graph-based (GB) measures with a support vector machine classifier for use in
electroencephalogram (EEG) based biometrics. Although FC-based features have
been used in biometric applications, studies assessing the identification
algorithms on heterogeneous and large datasets are scarce. This work
investigates the performance of FC and GB metrics on a dataset of 184 subjects
formed by pooling three datasets recorded under different protocols and
acquisition systems. The results demonstrate the higher …
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