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Keyword: Linear Discriminant Analysis
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Open AccessArticle
11 Pages, 1,234 KB Download PDF

EEG Feature Extraction based on Fast Fourier Transform and Wavelet Analysis for Classification of Mental Stress Levels using Machine Learning

Advances in Science, Technology and Engineering Systems Journal, Volume 8, Issue 6, Page # 46–56, 2023; DOI: 10.25046/aj080606
Abstract:

Mental stress assessment remains riddled with biases caused by subjective reports and individual differences across societal backgrounds. To objectively determine the presence or absence of mental stress, there is a need to move away from the traditional subjective methods of self-report questionnaires and interviews. Previously, it has been evidence that EEG Oscillations can discriminate mental…

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(This article belongs to the SP15 (Special Issue on Innovation in Computing, Engineering Science & Technology 2023) & Section Biomedical Engineering (EBI))
Open AccessArticle
7 Pages, 812 KB Download PDF

Discriminant Analysis of Diminished Attentiveness State Due to Mental Fatigue by Using P300

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 6, Page # 108–114, 2019; DOI: 10.25046/aj040613
Abstract:

Fatigue is broadly divided into two types depending on the content of a task: physical fatigue and mental fatigue. Mental fatigue is associated with human error. It is thus important to search for indicators that can easily evaluate mental fatigue. The aim of this study is to construct a system that can evaluate mental fatigue…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Psychiatry (PSY))
Open AccessArticle
9 Pages, 792 KB Download PDF

Review on Smart Electronic Nose Coupled with Artificial Intelligence for Air Quality Monitoring

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 739–747, 2020; DOI: 10.25046/aj050292
Abstract:

With the advent of the Internet of Things Technologies (IOT), smart homes, and smart city applications, E-Nose was created. Almost of gas sensors consisting the electronic nose system suffer from cross sensitivity and lack of selectivity. Coupling smart gas sensors with artificial intelligence algorithms can thus empower conventional gas sensing technologies and increase accuracy in…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
24 Pages, 5,041 KB Download PDF

Multi Biometric Thermal Face Recognition Using FWT and LDA Feature Extraction Methods with RBM DBN and FFNN Classifier Algorithms

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 6, Page # 67–90, 2019; DOI: 10.25046/aj040609
Abstract:

Person recognition using thermal imaging, multi-biometric traits, with groups of feature filters and classifiers, is the subject of this paper. These were used to tackle the problems of biometric systems, such as a change in illumination and spoof attacks. Using a combination of, hard and soft-biometric, attributes in thermal facial images. The hard-biometric trait, of…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Artificial Intelligence in Computer Science (CAI))

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