The book reports on recent advances in studying autonomic nervous system (ANS) dynamics for the assessment of mood and emotional states. We will illustrate several concepts, some of which are currently sparse over different manuscripts, in order to bring out a clear breakthrough in the field of affective computing, mood assess- ment, biomedical engineering, biomedical signal processing, and data acquisition. The aim is to describe some personalized methodologies able to characterize the affective state of a subject by means of the analysis of a wide spectrum of periph- eral biosignals such as Heart Rate Variability, Electrodermal Response, Respiration Activity, Eye gaze information.
Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition : Significant Advances in Data Acquisition, Signal Processing and Classification
VALENZA, GAETANO;SCILINGO, ENZO PASQUALE
2014-01-01
Abstract
The book reports on recent advances in studying autonomic nervous system (ANS) dynamics for the assessment of mood and emotional states. We will illustrate several concepts, some of which are currently sparse over different manuscripts, in order to bring out a clear breakthrough in the field of affective computing, mood assess- ment, biomedical engineering, biomedical signal processing, and data acquisition. The aim is to describe some personalized methodologies able to characterize the affective state of a subject by means of the analysis of a wide spectrum of periph- eral biosignals such as Heart Rate Variability, Electrodermal Response, Respiration Activity, Eye gaze information.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
