Progresses in Artificial Intelligence and Neural Systems / edited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero.

By:

Esposito, Anna

Contributor(s):

Material type: Text

TextSeries: Smart Innovation, Systems and Technologies ; 184Publication details: Singapore: Springer, c2021.Edition: 1st ed. 2021Description: 1 online resource (XVIII, 613 p. 189 illus., 125 illus. in color.) online resource. 24 cmISBN:

9789811550935
9789811550928
9789811550942
9789811550959

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23 ESP-P 2021 789467

Online resources:

Full text available from Springer Intelligent Technologies and Robotics eBooks 2021 English/International

Contents:

Part I: Introduction -- Towards Socially and Emotionally Believable ICT Interfaces -- Part II: Neural Networks and Related Applications -- The Simplification Conspiracy -- Passengers' Emotions Recognition to Improve Social Acceptance of Autonomous Driving Vehicles -- Road Type Classification using Acoustic Signals: Deep Learning Models and Real-Time Implementation -- Emotional Content Comparison in Speech Signal Using Feature Embedding.

In: Springer Nature eBookSummary: This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human-machine interaction. At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans' interactions to make computers interfacing with them emotionally and socially credible. The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry. .

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Holdings ( 1 )
Title notes ( 3 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Books	Faculty of CS & IT Library CS & IT Shelf No. 43 New Arrival	Book	006.3 ESP-P 2021 789467 (Browse shelf(Opens below))	C 1	Available		789467

Total holds: 0

References.

This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human-machine interaction. At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans' interactions to make computers interfacing with them emotionally and socially credible. The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry. .