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Lie Detection-Based EEG Signal using Frequency and Time Features
Editore:
Scholars' Press Sep 2023, 2023
ISBN 10: 6206769038
ISBN 13: 9786206769033
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -(EEG) brain signals are electrical activity measurements of the brain. Because they cannot be taken remotely or obtained later, they are 'secret' by nature and resistant to spoof attempts. EEG can tell the difference between the truth and a lie based on brain waves. uses electroencephalogram (EEG) signals as a set of statistical features to build a lie detection method. Two central problems are addressed; firstly, the number of electrodes and features tested to make the system applicable; secondly, to build a fast and accurate method. Two approaches are adopted; the first is to extract features from a single channel, and the second is to use the least number of features extracted. The EEG-based automatic lie detection method applies four main stages (i.e., preprocessing, feature extraction, feature selection, and classification phase) to the input EEG. The preprocessing includes two steps, normalization, and framing. Feature extraction contains two sets of features; spectral features and statistical moments. The feed-forward neural network classifier is used for the classification task. For evaluation purposes, the publicly available datasets are considered. 112 pp. Englisch. Codice articolo 9786206769033
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Lie Detection-Based EEG Signal using Frequency and Time Features
Print on DemandDa: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. (EEG) brain signals are electrical activity measurements of the brain. Because they cannot be taken remotely or obtained later, they are secret by nature and resistant to spoof attempts. EEG can tell the difference between the truth and a lie based on bra. Codice articolo 1154223289
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Lie Detection-Based EEG Signal using Frequency and Time Features
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - (EEG) brain signals are electrical activity measurements of the brain. Because they cannot be taken remotely or obtained later, they are 'secret' by nature and resistant to spoof attempts. EEG can tell the difference between the truth and a lie based on brain waves. uses electroencephalogram (EEG) signals as a set of statistical features to build a lie detection method. Two central problems are addressed; firstly, the number of electrodes and features tested to make the system applicable; secondly, to build a fast and accurate method. Two approaches are adopted; the first is to extract features from a single channel, and the second is to use the least number of features extracted. The EEG-based automatic lie detection method applies four main stages (i.e., preprocessing, feature extraction, feature selection, and classification phase) to the input EEG. The preprocessing includes two steps, normalization, and framing. Feature extraction contains two sets of features; spectral features and statistical moments. The feed-forward neural network classifier is used for the classification task. For evaluation purposes, the publicly available datasets are considered. Codice articolo 9786206769033
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Lie Detection-Based EEG Signal using Frequency and Time Features
Editore:
Scholars' Press Sep 2023, 2023
ISBN 10: 6206769038
ISBN 13: 9786206769033
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -(EEG) brain signals are electrical activity measurements of the brain. Because they cannot be taken remotely or obtained later, they are 'secret' by nature and resistant to spoof attempts. EEG can tell the difference between the truth and a lie based on brain waves. uses electroencephalogram (EEG) signals as a set of statistical features to build a lie detection method. Two central problems are addressed; firstly, the number of electrodes and features tested to make the system applicable; secondly, to build a fast and accurate method. Two approaches are adopted; the first is to extract features from a single channel, and the second is to use the least number of features extracted. The EEG-based automatic lie detection method applies four main stages (i.e., preprocessing, feature extraction, feature selection, and classification phase) to the input EEG. The preprocessing includes two steps, normalization, and framing. Feature extraction contains two sets of features; spectral features and statistical moments. The feed-forward neural network classifier is used for the classification task. For evaluation purposes, the publicly available datasets are considered.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Codice articolo 9786206769033
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Lie Detection-Based EEG Signal using Frequency and Time Features
Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Lie Detection-Based EEG Signal using Frequency and Time Features | Israa Jalal (u. a.) | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786206769033 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 127788703
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