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  • Anna Esposito; Marcos Faundez-Zanuy; Francesco Carlo Morabito; Eros Pasero
    978-3-319-95095-2
    2019
    Edition 1
    • Covers various scientific areas in machine learning, artificial neural networks, social and biometric data for applications in human–computer interactions
    • Presents recent research in dynamic signal exchanges and demonstrates how these advances can characterize a more friendly human–machine interaction
    • Proposes approaches to measure and quantify human behavior for the implementation of autonomous, and complex human–computer Interfaces
    • Considers key aspects of the integration of algorithms and procedures for the recognition of dynamic (faces, speech, gaits, EEGs, brain and speech waves) signals, in anticipation of the implementation of useful applications such as intelligent avatars, interactive dialog systems, and reliable complex autonomous systems for human signal’s detection and identification
    • Includes contributions from leading authorities in their respective fields

    €180

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