Human gender classification: a review
The gender recognition is essential and critical for many applications in the commercial
domains such as applications of human-computer interaction and computer-aided …
domains such as applications of human-computer interaction and computer-aided …
Age and gender classification using brain–computer interface
With the development of Internet of things (IOT), it is now possible to connect various
heterogeneous devices together using Internet. The devices are able to share their …
heterogeneous devices together using Internet. The devices are able to share their …
[HTML][HTML] Pain phenotypes classified by machine learning using electroencephalography features
Pain is a multidimensional experience mediated by distributed neural networks in the brain.
To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar …
To study this phenomenon, EEGs were collected from 20 subjects with chronic lumbar …
An integrated entropy-spatial framework for automatic gender recognition enhancement of emotion-based EEGs
Investigating gender differences based on emotional changes using electroencephalogram
(EEG) is essential to understand various human behavior in the individual situation in our …
(EEG) is essential to understand various human behavior in the individual situation in our …
Mel frequency cepstral coefficients enhance imagined speech decoding accuracy from EEG
Imagined speech has recently become an important neuro-paradigm in the field of brain-
computer interface (BCI) research. Electroencephalogram (EEG) recordings during …
computer interface (BCI) research. Electroencephalogram (EEG) recordings during …
A deep learning approach for brain computer interaction-motor execution EEG signal classification
Recently Noninvasive Electroencephalogram (EEG) systems are gaining much attention.
Brain-computer Interface (BCI) systems rely on EEG analysis to identify the mental state of …
Brain-computer Interface (BCI) systems rely on EEG analysis to identify the mental state of …
Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data
M Fairhurst, C Li, M Da Costa‐Abreu - IET Biometrics, 2017 - Wiley Online Library
Interest in the exploitation of soft biometrics information has continued to develop over the
last decade or so. In comparison with traditional biometrics, which focuses principally on …
last decade or so. In comparison with traditional biometrics, which focuses principally on …
An approach to EEG-based gender recognition using entropy measurement methods
J Hu - Knowledge-Based Systems, 2018 - Elsevier
Gender carries significant information related to male and female characteristics. Gender
classification using physiological measurements are being studied vigorously. An …
classification using physiological measurements are being studied vigorously. An …
Multi-factor EEG-based user authentication
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 …
is also used in brain-computer interface (BCI) systems for humans to continuously control …
A hybrid model for EEG-based gender recognition
P Wang, J Hu - Cognitive neurodynamics, 2019 - Springer
The gender recognition is an important research field to study evidence regarding some
personal characteristics in the information and data society. However, some current …
personal characteristics in the information and data society. However, some current …