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Multimodal User Interfaces [electronic resource] : From Signals to Interaction / edited by Dimitrios Tzovaras.

Contributor(s): Series: Signals and Commmunication TechnologiesPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008Description: X, 315 p. 238 illus., 72 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540783459
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
Online resources:
Contents:
Multimodality Theory -- Information-Theoretic Framework for Multimodal Signal Processing -- Multimodality for Plastic User Interfaces: Models, Methods, and Principles -- Face and Speech Interaction -- Recognition of Emotional States in Natural Human-Computer Interaction -- Two SIMILAR Different Speech and Gestures Multimodal Interfaces -- Multimodal User Interfaces in Ubiquitous Environments -- Software Engineering for Multimodal Interactive Systems -- Gestural Interfaces for Hearing-Impaired Communication -- Modality Replacement Framework for Applications for the Disabled -- A medical Component-based Framework for Image Guided Surgery -- Multimodal Interfaces for Laparoscopic Training.
In: Springer eBooksSummary: Where multimodal signal processing meets multimodal human computer interaction... Signal Processing (SP) and Human-Computer Interaction (HCI), two very popular scientific areas, are brought together to provide solutions to a series of great challenges in the field of multimodal interfaces. Focus is on multimodal interfaces that respond efficiently to speech, gestures, vision, haptics and direct brain connections taking advantage of recent developments in both HCI and SP. The book presents a common theoretical framework for fusion and fission of multimodal information using the most advanced signal processing algorithms constrained by HCI rules, described in detail and integrated in the context of a common distributed software platform for easy and efficient development and usability assessment of multimodal tools. The book also demonstrates the use of the multimodal framework for the development of a set of applications in the areas of edutainment, interfaces for disabled people and interfaces for medical applications.
Item type: eBooks
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Multimodality Theory -- Information-Theoretic Framework for Multimodal Signal Processing -- Multimodality for Plastic User Interfaces: Models, Methods, and Principles -- Face and Speech Interaction -- Recognition of Emotional States in Natural Human-Computer Interaction -- Two SIMILAR Different Speech and Gestures Multimodal Interfaces -- Multimodal User Interfaces in Ubiquitous Environments -- Software Engineering for Multimodal Interactive Systems -- Gestural Interfaces for Hearing-Impaired Communication -- Modality Replacement Framework for Applications for the Disabled -- A medical Component-based Framework for Image Guided Surgery -- Multimodal Interfaces for Laparoscopic Training.

Where multimodal signal processing meets multimodal human computer interaction... Signal Processing (SP) and Human-Computer Interaction (HCI), two very popular scientific areas, are brought together to provide solutions to a series of great challenges in the field of multimodal interfaces. Focus is on multimodal interfaces that respond efficiently to speech, gestures, vision, haptics and direct brain connections taking advantage of recent developments in both HCI and SP. The book presents a common theoretical framework for fusion and fission of multimodal information using the most advanced signal processing algorithms constrained by HCI rules, described in detail and integrated in the context of a common distributed software platform for easy and efficient development and usability assessment of multimodal tools. The book also demonstrates the use of the multimodal framework for the development of a set of applications in the areas of edutainment, interfaces for disabled people and interfaces for medical applications.

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