Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition Significant Advances in Data Acquisition, Signal Processing and Classification /

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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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Valenza, Gaetano (Auteur), Scilingo, Enzo Pasquale (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Cham : Springer International Publishing : Imprint: Springer, 2014.
Édition:1st ed. 2014.
Collection:Series in BioEngineering,
Sujets:
Biomedical engineering.
Artificial intelligence.
Psychobiology.
Signal processing.
Computational intelligence.
Neurosciences.
Biomedical Engineering and Bioengineering.
Artificial Intelligence.
Biological Psychology.
Signal, Speech and Image Processing .
Computational Intelligence.
Neuroscience.
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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