عنوان

Autonomic nervous system dynamics for mood and emotional-state recognition : significant advances in data acquisition, signal processing and classification

Country Code

IR

Number

312544

.Language of Text, Soundtrack etc

انگلیسی

Country of publication

IR

Title Proper

Autonomic nervous system dynamics for mood and emotional-state recognition : significant advances in data acquisition, signal processing and classification

General Material Designation

[Electronic]

First Statement of Responsibility

/ Gaetano Valenza

Subsequent Statement of Responsibility

; Enzo Pasquale Scilingo

Place of Publication, Distribution, etc.

Cham

Name of Publisher, Distributor, etc.

: Springer

Date of Publication, Distribution, etc.

, 2014.

Series Title

(Series in bioengineering)

Text of Note

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-recognition systems. Applicative studies of biosignals such as: electrocardiograms; electrodermal responses; respiration activity; gaze points; and pupil-size variation are covered in detail, and experimental results explain how to characterize the elicited affective levels and mood states pragmatically and accurately using the information thus extracted from the ANS. Nonlinear signal processing techniques play a crucial role in understanding the ANS physiology underlying superficially noticeable changes and provide important quantifiers of cardiovascular control dynamics. These have prognostic value in both healthy subjects and patients with mood disorders. Moreover, Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition proposes a novel probabilistic approach based on the point-process theory in order to model and characterize the instantaneous ANS nonlinear dynamics providing a foundation from which machine understanding of emotional response can be enhanced. Using mathematics and signal processing, this work also contributes to pragmatic issues such as emotional and mood-state modeling, elicitation, and non-invasive ANS monitoring. Throughout the text a critical review on the current state-of-the-art is reported, leading to the description of dedicated experimental protocols, novel and reliable mood models, and novel wearable systems able to perform ANS monitoring in a naturalistic environment. Biomedical engineers will find this book of interest, especially those concerned with nonlinear analysis, as will researchers and industrial technicians developing wearable systems and sensors for ANS monitoring..

Autonomic nervous system

Affective disorders

Emotions

Class number

Valenza, Gaetano

Country

ایران

Agency

Central Library of the University of Kurdistan

Date and Hour of Consultation and Access

FD185C74-E812-4FBE-86F3-4CCE2EA037CD.pdf

old catalog

e

BL

1

a

Y