Multimodal User Interfaces: From Signals to Interaction

ISBN-13: 9783642097034 / Angielski / Miękka / 2010 / 315 str.

Dimitros Tzovaras

Opis

tionship indicates how multimodal medical image processing can be unified to a large extent, e. g. multi-channel segmentation and image registration, and extend information theoretic registration to other features than image intensities. The framework is not at all restricted to medical images though and this is illustrated by applying it to multimedia sequences as well. In Chapter 4, the main results from the developments in plastic UIs and mul- modal UIs are brought together using a theoretic and conceptual perspective as a unifying approach. It is aimed at defining models useful to support UI plasticity by relying on multimodality, at introducing and discussing basic principles that can drive the development of such UIs, and at describing some techniques as proof-of-concept of the aforementioned models and principles. In Chapter 4, the authors introduce running examples that serve as illustration throughout the d- cussion of the use of multimodality to support plasticity.

Spis treści

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.

Blurb

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.