Multimodal signal processing: theory and applications for human-computer interaction

Presents state-of-art methods for multimodal signal processing, analysis, andmodelingContains numerous examples of systems with different modalities combinedDescribes 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 researchand 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 anduser-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. Presents state-of-art methods for multimodal signal processing, analysis,and modelingContains numerous examples of systems with different modalities combinedDescribes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes.

• ISBN: 978-0-12-374825-6
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 448
• Fecha Publicación: 04/12/2009
• Nº Volúmenes: 1
• Idioma: Inglés