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Human-centric interfaces for ambient intelligence [electronic resource] / by Hamid Aghajan, Juan Carlos Augusto, Ramon Lopez-Cozar Delgado.

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摘要註

To create truly effective human-centric ambient intelligence systems both engineering and computing methods are needed. This is the first book to bridge data processing and intelligent reasoning methods for the creation of human-centered ambient intelligence systems. Interdisciplinary in nature, the book covers topics such as multi-modal interfaces, human-computer interaction, smart environments and pervasive computing, addressing principles, paradigms, methods and applications. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduate students working in signal, speech and video processing, multi-modal interfaces, human-computer interaction and applications of ambient intelligence. Hamid Aghajan is a Professor of Electrical Engineering (consulting) at Stanford University, USA. His research is on user-centric vision applications in smart homes, assisted living / well being, smart meetings, and avatar-based social interactions. He is Editor-in-Chief of "Journal of Ambient Intelligence and Smart Environments", has chaired ACM/IEEE ICDSC 2008, and organized workshops/sessions/tutorials at ECCV, ACM MM, FG, ECAI, ICASSP, CVPR. Juan Carlos Augusto is a Lecturer at the University of Ulster, UK. He is conducting research on Smart Homes and Classrooms. He has given tutorials at IJCAI'07 and AAAI'08. He is Editor-in-Chief of the Book Series on "Ambient Intelligence and Smart Environments" and the "Journal of Ambient Intelligence and Smart Environments". He has co-Chaired ICOST'06, AITAmI'06/07/08, and is Workshops Chair for IE'09. Ra

內容註

Preface; Face to face collaborative interfaces; Computer vision interfaces for interactive art; Ubiquitous gaze: Using gaze at the interface; Exploiting natural language generation in scene interpretation; The language of action: A new tool for human-centric interfaces; Robust speech recognition under noisy ambient conditions; Speaker recognition in smart environments; Machine learning approaches to spoken language understanding; The role of spoken dialogue in user-environment interaction; Speech synthesis in ambient intelligence environments; Tangible interfaces for ambient augmented reality applications; Physical browsing and selection: Easy interaction with ambient services; Non-symbolic gestural interaction for ambient intelligence;

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