Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition

This monograph reports on advances in the measurement and study of autonomic nervous system dynamics. It demonstrates methods useful for engineers and computer scientists in increasing the ability of machines to monitor and recognize human emotional states.

Demonstrates methods useful for engineers and computer scientists in increasing the ability of machines to monitor and recognize human emotional states Design of wearable monitoring systems will help clinicians to assess the mental and emotional state of their patients Facilitates the study of physiological changes associated with normal and abnormal changes in affect Includes supplementary material: sn.pub/extras

Autorentext
Associate Professor Scilingo has worked for several years in the field of wearable monitoring systems, signal processing, human-computer interfaces and biomedical applications. He is author of hundreds of international scientific contributions in these fields and currently he is coordinating a European project focused on personalized health systems for mental care. More specifically, patients suffering from mood disorders are monitored by means of wearable systems acquiring a wide set of physiological signals and other behavioural and environmental parameters. Most of the results reported in this book are achieved within the framework of this project, through which Doctor Valenza has been focusing on statistical and nonlinear biomedical signal processing, cardiovascular and neural modeling, and wearable systems for physiological monitoring.
He is author of tens of international scientific papers in these fields and currently he is working with the University of Pisa (Italy), and the neuro-cardiovascular signal processing unit of the Massachusetts General Hospital, Harvard Medical School, Boston, (MA, USA), and Massachusetts Institute of Technology, Cambridge, (MA, USA).

Inhalt
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.