Person identification based on brain signals has captured substantial attention in recent years. These signals are characterized by original patterns for a specific person and are capable of providing security and privacy of an individual in biometric identification.
Sep 21, 2022
Apr 30, 2017 · Our system shows promising initial results toward building a practical identification technology able to recognize individuals by means of brain ...
Our system shows promising initial results toward building a practical identification technology able to recognize individuals by means of brain neurodynamics.
Abstract—As the brain is a unique biological system that reflects the subtle distinctions in the mental attributes of individ-.
Our system shows promising initial results toward building a practical identification technology able to recognize individuals by means of brain neurodynamics.
Due to the nature of the EEG signals, EEG-based PI is typically done while the person is performing some kind of mental task, such as motor control.
Sep 21, 2022 · The ability of person identification based on individual tasks corresponding to a given degree of load and their fusion are examined by 5-fold ...
Missing: Neurodynamics. | Show results with:Neurodynamics.
This study represents the first comprehensive investigation of brain network topology in EEG biometric identification. We propose a graph-based method, explore ...
Sep 17, 2021 · In this paper the focus of investigation is the use of brain activity as a new modality for identification. Univariate model biometrics such as ...
Sep 11, 2020 · This study mainly focuses on person identification using EEG analysis to find unique brain signal patterns. 0.1 Related research. Relevance for ...
Missing: Neurodynamics. | Show results with:Neurodynamics.