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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Valenza, Gaetano (Autor), Scilingo, Enzo Pasquale (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Series in BioEngineering,
Temas:
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.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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