Multimodal signal processing: theory and applications for human-computer interaction
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Bibliographic Details
Format: Electronic eBook
Language:English
Published: Amsterdam Elsevier/Academic c2010
Edition:1st ed
Series:EURASIP and Academic Press series in signal and image processing
Subjects:
Online Access:Volltext
Item Description:Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes. Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities - speech, vision, language, text - which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges that must be overcome to develop efficient and user-friendly multimodal interactive systems. With contributions from the leading experts in the field, the present book should serve as a reference in multimodal signal processing for signal processing researchers, graduate students, R & D engineers, and computer engineers who are interested in this emerging field
Includes bibliographical references and index
Physical Description:1 Online-Ressource (xiv, 328 p.)
ISBN:9780080888699
0080888690

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