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

• Main Authors: Valenza, Gaetano (Author), Scilingo, Enzo Pasquale (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Series in BioEngineering,
• Subjects: Engineering.; Neurosciences.; Artificial intelligence.; Computational intelligence.; Biomedical engineering.; Biological psychology.; Biomedical Engineering.; Artificial Intelligence (incl. Robotics).; Biological Psychology.; Signal, Image and Speech Processing.; Computational Intelligence.

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-...

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.