With the increasing development of internet, the security of personal information becomes
more and more important. Thus, variety of personal recognition methods have been …

People with dementia can become missing and unable to be identified due to their cognitive
decline and may not have belongings, including personally identifiable information. The aim …

Electromyogram (EMG) signals cannot be forged and have the advantage of being able to
change the registered data as they are characterized by the waveform, which varies …

Surface electromyogram (sEMG) refers to a biosignal acquired from the skin surface during
the contraction of skeletal muscles, and a different signal waveform is generated, depending …

Recent studies have focused on user authentication methods that use biometric signals
such as electrocardiogram (ECG) and photo-plethysmography (PPG). These authentication …

This paper analyzes the effects of electrocardiogram, electromyogram, respiration, hand and
foot galvanic skin response signals on biometric identification using the features extracted …

The purpose of this study is to use behavioral biometric features of bioelectric signals for
classifying and identifying people. This paper describes the development of a high …

Recent studies actively researching user identification utilizing physiological information to
verify identity. However, there is a problem with biometric information exposed to the outside …

ABSTRACT As Internet of Things (IoT) technology develops, integrating network functions
into diverse equipment introduces new challenges, particularly in dealing with counterfeit …

Currently, there is a growing global concern regarding data privacy and security, particularly
in the field of personal identification and authentication. Traditional biometric identification …