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Lie Detection-Based EEG Signal using Frequency and Time Features
Seller: Books Puddle, New York, NY, U.S.A.
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Lie Detection-Based EEG Signal using Frequency and Time Features
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Lie Detection-Based EEG Signal using Frequency and Time Features
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Scholars' Press Sep 2023, 2023
ISBN 10: 6206769038
ISBN 13: 9786206769033
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786206769033
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Lie Detection-Based EEG Signal using Frequency and Time Features
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
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Lie Detection-Based EEG Signal using Frequency and Time Features
Print on DemandSeller: moluna, Greven, Germany
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Condition: 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. Seller Inventory # 1154223289
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Lie Detection-Based EEG Signal using Frequency and Time Features
Published by
Scholars' Press Sep 2023, 2023
ISBN 10: 6206769038
ISBN 13: 9786206769033
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786206769033
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Lie Detection-Based EEG Signal using Frequency and Time Features
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 127788703
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Lie Detection-Based EEG Signal using Frequency and Time Features
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786206769033