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Titlebook: Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition; Significant Advances Gaetano Valenza,Enzo Pasquale Scilingo Boo

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發(fā)表于 2025-3-21 17:39:32 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition
期刊簡稱Significant Advances
影響因子2023Gaetano Valenza,Enzo Pasquale Scilingo
視頻videohttp://file.papertrans.cn/167/166735/166735.mp4
發(fā)行地址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
學(xué)科分類Series in BioEngineering
圖書封面Titlebook: Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition; Significant Advances Gaetano Valenza,Enzo Pasquale Scilingo Boo
影響因子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 dynamic
Pindex Book 2014
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Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition978-3-319-02639-8Series ISSN 2196-8861 Series E-ISSN 2196-887X
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Silviculture and Sustainability,ection..This chapter invites the readers, both expert and new in the field, to go through the next chapters in order to appreciate and understand how human emotions and related automatic emotion recognition systems are defined..Finally, aims, motivations, impacts, and perspectives are reported, stimulating future readings in the same domain.
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Santiago Cueto,Juan León,Ismael G. Mu?ozentioning possible clinical exploitations..The chapter is organized as a detailed point-by-point description, aiming to guide the reader through a clear and concise overview of the major psycho-physiological and methodological achievements reported in all the book chapters.
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Silviculture and Sustainability,ection..This chapter invites the readers, both expert and new in the field, to go through the next chapters in order to appreciate and understand how human emotions and related automatic emotion recognition systems are defined..Finally, aims, motivations, impacts, and perspectives are reported, stim
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https://doi.org/10.1007/978-3-319-13138-2ssment. Accordingly, several methodological approaches and guidelines for the development of an automatic system for an effective characterization and recognition of emotions are described along..Firstly, the reader will be provided with clear definitions of these mental states, with the aim of unde
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Researching Same-Sex Sexuality,ention has to be paid to control several variables such as recruitment of eligible subjects, kind and duration of the emotional stimuli, and performance of the monitoring device..This chapter proposes effective procedures suitable to study both healthy subjects and bipolar patients using an ad-hoc s
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