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
Autor principal: Valenza, Gaetano
Otros Autores: Scilingo, Enzo Pasquale
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Colección:Series in BioEngineering,
Materias:
Engineering.
Neurosciences.
Computational intelligence.
Biomedical engineering.
Biological psychology.
Artificial Intelligence (incl. Robotics).
Signal, Image and Speech Processing.
Acceso en línea:http://dx.doi.org/10.1007/978-3-319-02639-8
Aporte de:Registro referencial: Solicitar el recurso aquí
Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata
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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