{"product_id":"autonomic-nervous-system-dynamics-for-mood-and-emotional-state-recognition-significant-advances-in-data-acquisition-signal-processing-and-classifica-9783319026381","title":"Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classifica","description":"\u003cp\u003e • Author(s): Gaetano Valenza\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Engineering (General)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eThis 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.\u003cbr\u003eApplicative studies of biosignals such as: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eelectrocardiograms;\u003c\/li\u003e\n\u003cli\u003eelectrodermal responses;\u003c\/li\u003e\n\u003cli\u003erespiration activity; \u003c\/li\u003e\n\u003cli\u003egaze points; and\u003c\/li\u003e\n\u003cli\u003epupil-size variation \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eare 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. \u003cbr\u003eNonlinear 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, \u003ci\u003eAutonomic Nervous System Dynamics for Mood and Emotional-State Recognition\u003c\/i\u003e 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. \u003cbr\u003eUsing 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. \u003cbr\u003eBiomedical 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45279821234327,"sku":"9783319026381","price":7345.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319026381.webp?v=1769294643","url":"https:\/\/atlanticbooks.com\/products\/autonomic-nervous-system-dynamics-for-mood-and-emotional-state-recognition-significant-advances-in-data-acquisition-signal-processing-and-classifica-9783319026381","provider":"Atlantic Books","version":"1.0","type":"link"}