With the embedding of EEG (electro-encephalography) sensors in wireless headsets and
other consumer electronics, authenticating users based on their brainwave signals has …

Security systems using brain signals or Electroencephalography (EEG), is an emerging field
of research. Brain signal characteristics such as chaotic nature and uniqueness, make it an …

EEG-based authentication has gained much interest in recent years. However, despite its
growing appeal, there are still various challenges to their practical use, such as lack of …

Lately, electroencephalography (EEG)-based auth-entication has received considerable
attention from the scientific community. However, the limited usability of wet EEG electrodes …

In recent years, the need for greater security for storing personal and business data or
accessing corporate networks on mobile devices has been growing rapidly, and one of the …

Electroencephalography (EEG) signal has been used widely in health and medical fields. It
is also used in brain-computer interface (BCI) systems for humans to continuously control …

With the rapid development of brain‐computer interface technology, as a new biometric
feature, EEG signal has been widely concerned in recent years. The safety of brain …

A low-cost, consumer-grade, EEG-based individual authentication system is proposed in this
work. While EEG signals are recorded, the subject performs four mental imagery tasks …

As human brain activities, represented by EEG brainwave signals, are more confidential,
sensitive, and hard to steal and replicate, they hold great promise to provide a far more …

Background Electroencephalogram (EEG) signals of a brain contain a unique pattern for
each person and the potential for biometric applications. Authentication and security is a …