Eeg biometrics for person verification

B Goudiaby, A Othmani, A Nait-ali - Hidden Biometrics: When Biometric …, 2020 - Springer
The purpose of this chapter is to explore the idea of using EEG signals as a biometric
modality to recognize individuals. Considered as a variant of Brain Computer Interface (BCI) …

A review on artifacts removal techniques for Electroencephalogram signals

RS Mahamune, SH Laskar - 2019 2nd International Conference …, 2019 - ieeexplore.ieee.org
Electroencephalography (EEG) is used for the diagnosis of brain disorders (like epilepsy,
Amyotrophic Lateral Sclerosis (ALS) etc). Artifacts are the unwanted interference in the EEG …

Detection of artifacts from high energy bursts in neonatal EEG

S Bhattacharyya, A Biswas, J Mukherjee… - Computers in biology …, 2013 - Elsevier
Detection of non-cerebral activities or artifacts, intermixed within the background EEG, is
essential to discard them from subsequent pattern analysis. The problem is much harder in …

Artificial neural networks and efficient optimization techniques for applications in engineering

RMS Cruz, HM Peixoto… - Artificial Neural Networks …, 2011 - books.google.com
This chapter proposal describes some artificial neural network (ANN) neuromodeling
techniques used in association with powerful optimization tools, such as natural optimization …

Smoothening of iris images and pupil segmentation using fractional derivative and wavelet transform

AR Kiruthiga, R Arumuganathan - 2017 Fourth international …, 2017 - ieeexplore.ieee.org
Pupil localization is the most significant preprocessing step in recognizing the iris. Iris
images are often degraded by low resolution, specular reflections; occlusion by eyelids …

Performance analysis of QR-decomposition RLS and householder sliding window RLS for noise elimination of EEG

S Khanom, MR Islam - 2017 IEEE Region 10 Humanitarian …, 2017 - ieeexplore.ieee.org
The paper conducts with the performance analysis of QR-decomposition (QRD) and
householder sliding window (HSW) recursive least square (RLS) algorithm of adaptive filter …

Development of an algorithm for the automatic detection of artifacts in neonatal electroencephalography

FGG Costa - 2017 - repositorio.ul.pt
Artifacts-erroneous information in the acquisition of the brain activity–in the EEG reading of
newborns that are admitted in the NICU is a major problem that can have serious …

Sistema não-Intrusivo para Estimação da Direção do olhar utilizando redes neurais artificiais

HM Peixoto - 2010 - repositorio.ufrn.br
Os sentidos fundamentais do corpo humano sao: visao, audiçao, tato, gustaçao (ou paladar)
e olfato. Estes constituem as funçoes que propiciam o nosso relacionamento com o …

Sistema de teleoftalmologia para auxílio ao pré-diagnóstico de disfunções oculomotoras

JHN Batista - 2012 - repositorio.ufrn.br
A visão é um dos cinco sentidos do corpo humano e, em crianças, é responsável por até
80% da percepção do mundo ao redor. Estudos revelam que 50% das crianças com …