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Condition: New. pp. 174 1st edition NO-PA16APR2015-KAP.
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Digital Image Watermarking: Theoretical and Computational Advances (Intelligent Signal Processing and Data Analysis)
Book 3 of 12: Intelligent Signal Processing and Data AnalysisSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Digital Image Watermarking: Theoretical and Computational Advances (Intelligent Signal Processing and Data Analysis)
Book 3 of 12: Intelligent Signal Processing and Data AnalysisSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Hardcover. Condition: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification (Series in BioEngineering)
Book 4 of 24: Series in BioEngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification (Series in BioEngineering)
Book 4 of 24: Series in BioEngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification (Series in BioEngineering)
Book 4 of 24: Series in BioEngineeringUS$ 130.76
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Digital Image Watermarking: Theoretical and Computational Advances (Intelligent Signal Processing and Data Analysis)
Book 3 of 12: Intelligent Signal Processing and Data AnalysisUS$ 133.95
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification
Book 4 of 24: Series in BioEngineeringUS$ 178.22
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Add to basketHardcover. Condition: Brand New. 162 pages. 9.25x6.25x0.75 inches. In Stock.
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Taschenbuch. Condition: Neu. Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition | Significant Advances in Data Acquisition, Signal Processing and Classification | Gaetano Valenza (u. a.) | Taschenbuch | xix | Englisch | 2016 | Springer | EAN 9783319378220 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition : Significant Advances in Data Acquisition, Signal Processing and Classification
Book 4 of 24: Series in BioEngineeringLanguage: English
Published by Springer International Publishing, 2016
ISBN 10: 3319378228 ISBN 13: 9783319378220
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph reports on advances in the measurement and study of autonomic nervous system (ANS) dynamics as a source of reliable and effective markers for mood state recognition and assessment of emotional responses. Its primary impact will be in affective computing and the application of emotion-recognition systems. Applicative studies of biosignals such as: electrocardiograms; electrodermal responses; respiration activity; gaze points; and pupil-size variation are covered in detail, and experimental results explain how to characterize the elicited affective levels and mood states pragmatically and accurately using the information thus extracted from the ANS. Nonlinear signal processing techniques play a crucial role in understanding the ANS physiology underlying superficially noticeable changes and provide important quantifiers of cardiovascular control dynamics. These have prognostic value in both healthy subjects and patients with mood disorders. Moreover, Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition proposes a novel probabilistic approach based on the point-process theory in order to model and characterize the instantaneous ANS nonlinear dynamics providing a foundation from which machine 'understanding' of emotional response can be enhanced. Using mathematics and signal processing, this work also contributes to pragmatic issues such as emotional and mood-state modeling, elicitation, and non-invasive ANS monitoring. Throughout the text a critical review on the current state-of-the-art is reported, leading to the description of dedicated experimental protocols, novel and reliable mood models, and novel wearable systems able to perform ANS monitoring in a naturalistic environment. Biomedical engineers will find this book of interest, especially those concerned with nonlinear analysis, as will researchers and industrial technicians developing wearable systems and sensors for ANS monitoring.
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition : Significant Advances in Data Acquisition, Signal Processing and Classification
Book 4 of 24: Series in BioEngineeringLanguage: English
Published by Springer International Publishing, 2013
ISBN 10: 3319026380 ISBN 13: 9783319026381
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph reports on advances in the measurement and study of autonomic nervous system (ANS) dynamics as a source of reliable and effective markers for mood state recognition and assessment of emotional responses. Its primary impact will be in affective computing and the application of emotion-recognition systems. Applicative studies of biosignals such as: electrocardiograms; electrodermal responses; respiration activity; gaze points; and pupil-size variation are covered in detail, and experimental results explain how to characterize the elicited affective levels and mood states pragmatically and accurately using the information thus extracted from the ANS. Nonlinear signal processing techniques play a crucial role in understanding the ANS physiology underlying superficially noticeable changes and provide important quantifiers of cardiovascular control dynamics. These have prognostic value in both healthy subjects and patients with mood disorders. Moreover, Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition proposes a novel probabilistic approach based on the point-process theory in order to model and characterize the instantaneous ANS nonlinear dynamics providing a foundation from which machine 'understanding' of emotional response can be enhanced. Using mathematics and signal processing, this work also contributes to pragmatic issues such as emotional and mood-state modeling, elicitation, and non-invasive ANS monitoring. Throughout the text a critical review on the current state-of-the-art is reported, leading to the description of dedicated experimental protocols, novel and reliable mood models, and novel wearable systems able to perform ANS monitoring in a naturalistic environment. Biomedical engineers will find this book of interest, especially those concerned with nonlinear analysis, as will researchers and industrial technicians developing wearable systems and sensors for ANS monitoring.
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Autonomic Nervous System Dynamics for Mood and Emotional-state Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification
Book 4 of 24: Series in BioEngineeringUS$ 176.00
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Add to basketPaperback. Condition: Brand New. reprint edition. 184 pages. 9.25x6.10x0.44 inches. In Stock.
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Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence, 410)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence, 410)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This monograph reports on advances in the measurement and study of autonomic nervous system (ANS) dynamics as a source of reliable and effective markers for mood state recognition and assessment of emotional responses. Its primary impact will be in affective computing and the application of emotion-recognition systems. Applicative studies of biosignals such as: electrocardiograms; electrodermal responses; respiration activity; gaze points; and pupil-size variation are covered in detail, and experimental results explain how to characterize the elicited affective levels and mood states pragmatically and accurately using the information thus extracted from the ANS. Nonlinear signal processing techniques play a crucial role in understanding the ANS physiology underlying superficially noticeable changes and provide important quantifiers of cardiovascular control dynamics. These have prognostic value in both healthy subjects and patients with mood disorders. Moreover, Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition proposes a novel probabilistic approach based on the point-process theory in order to model and characterize the instantaneous ANS nonlinear dynamics providing a foundation from which machine żunderstandingż of emotional response can be enhanced. Using mathematics and signal processing, this work also contributes to pragmatic issues such as emotional and mood-state modeling, elicitation, and non-invasive ANS monitoring. Throughout the text a critical review on the current state-of-the-art is reported, leading to the description of dedicated experimental protocols, novel and reliable mood models, and novel wearable systems able to perform ANS monitoring in a naturalistic environment. Biomedical engineers will find this book of interest, especially those concerned with nonlinear analysis, as will researchers and industrial technicians developing wearable systems and sensors for ANS monitoring.
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Condition: New. pp. 368.
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification (Series in BioEngineering)
Book 4 of 24: Series in BioEngineeringUS$ 214.05
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Add to basketHardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New. pp. 368.
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Taschenbuch. Condition: Neu. Advances in Intelligent Signal Processing and Data Mining | Theory and Applications | Petia Georgieva (u. a.) | Taschenbuch | Studies in Computational Intelligence | xiv | Englisch | 2014 | Springer | EAN 9783642439803 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: As New. Unread book in perfect condition.
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification (Series in BioEngineering)
Book 4 of 24: Series in BioEngineeringUS$ 223.72
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Condition: As New. Unread book in perfect condition.
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Advances in Intelligent Signal Processing and Data Mining : Theory and Applications
Language: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642439802 ISBN 13: 9783642439803
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.
