Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition Significant Advances in Data Acquisition, Signal Processing and Classification / by Gaetano Valenza, Enzo Pasquale Scilingo.

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-...

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Bibliographic Details
Main Authors:	Valenza, Gaetano (Author), Scilingo, Enzo Pasquale (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:	1st ed. 2014.
Series:	Series in BioEngineering, Springer eBook Collection.
Subjects:	Biomedical engineering. Artificial intelligence. Biological psychology. Signal processing. Image processing. Speech processing systems. Computational intelligence. Neurosciences. Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table of Contents:

Emotions and Mood States: Modeling, Elicitation, and Classification through Autonomic Patterns
Gathering Data from the Autonomic Nervous System: Experimental Procedures and Wearable Monitoring Systems
Methodology of Advanced Signal Processing and Modeling
Experimental Evidences on Healthy Subjects and Bipolar Patients
Discussion on mood and emotional-state recognition using the Autonomic Nervous System Dynamics
Summary of the Book and Direction for Future Research.

Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition Significant Advances in Data Acquisition, Signal Processing and Classification / by Gaetano Valenza, Enzo Pasquale Scilingo.

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