Multimodal Signal Processing: Theory and applications for human-computer interaction (2009)

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Multimodal Signal Processing: Theory and applications for human-computer interaction (2009)

by Jean-Philippe Thiran, Ferran Marqués, and Hervé Bourlard,
Academic Press, Dec. 2009.

Description from the publisher: Multimodal signal processing is a "hot" new area with applications in security (user identification) and medical health. Often these applications will be sensor networks, an area that is getting massive funding. Multi-modal refers to the different types of signals received from different source types: vision, speech, touch, smell and text. Processing these signals requires very different signal processing methods and techniques.  This book provides the definitive reference on multimodal signal processing by the world’s experts, giving state-of-the-art methods in multimodal signal and image modeling and processing, numerous examples and applications of multimodal interactive systems, including human-computer and human-human interaction. This is an ideal reference in multimodal signal processing for signal processing researchers and computer engineers, R&D engineers and graduate students.

Please visit the book’s website for more information.

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