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Coverbal Synchrony in Human-Machine Interaction

in Human-Machine Interaction presents state-of-the-art concepts of advanced environment-independent multimodal human-machine interfaces that can be;

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Challenges and Trends in Multimodal Fall Detection for Healthcare

curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples. This book;

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Multimodal Analyses enabling Artificial Agents in Human Machine Interaction

This book constitutes the thoroughly refereed post-workshop proceedings of the Second Workshop on Multimodal Analyses Enabling Artificial;

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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held;

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The Paradigm Shift to Multimodality in Contemporary Computer Interfaces

of human-computer interaction much closer to the human. This book explains the foundation of human-centered multimodal interaction and interface;

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MPRSS 2016

recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition;

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Studio-Based Approaches for Multimodal Projects

Studio-Based Approaches for Multimodal Projects examines a cross-section of strategies for studio approaches and models that enable process;

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Human Machine Interaction

Human Machine Interaction, or more commonly Human Computer Interaction, is the study of interaction between people and computers. It is an;

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Optimization in Machine Learning and Applications

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information;

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Optimization in Machine Learning and Applications

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information;

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PRICAI 2016: Trends in Artificial Intelligence

satisfaction; multimodal interaction; knowledge representation; social networks; ad-hoc networks; algorithms; software architecture; machine learning;

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Human-Computer Interaction. Multimodal and Natural Interaction

-based interaction; speech, voice, conversation and emotions; multimodal interaction; and human robot interaction. Part III: HCI for well;

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Human-in-the-Loop Machine Learning

experience. About the technology Human-in-the-Loop machine learning refers to the need for human interaction with machine learning;

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Musical Robots and Interactive Multimodal Systems

, detailed analysis and controls, for both playing and listening. The development of interactive multimodal systems provides advancements which;

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Multimodal Learning for Clinical Decision Support and Clinical Image Based Proce

This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision;

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Medical Content-Based Retrieval for Clinical Decision Support

, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and;

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Multimodal Interactive Handwritten Text Transcription

This book presents an interactive multimodal approach for efficient transcription of handwritten text images. This approach, rather than;

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Opinion Analysis in Interactions - From Data Mining to Human-Agent Interaction

of Opinion Analysis in Interactions is to present methods based on artificial intelligence through a combination of machine learning models and;

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Learning and Collaboration Techniques. Novel Learning Ecosystems

topical sections: multimodal and natural interaction for learning; learning and teaching ecosystems; e-learning, social media and MOOCs; beyond;

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Haptic and Audio Interaction Design

papers are organized in topical sections on haptic and audio interactions, crossmodal and multimodal communication and emerging multimodal;

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MultiMedia Modeling

, and emotion in multimedia quality modeling; multimodal learning and computing for human activity understanding; and perspectives on multimedia;

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MultiMedia Modeling

in multimedia quality modeling; multimodal learning and computing for human activity understanding; and perspectives on multimedia analytics.;

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Multimodality and Classroom Languaging Dynamics

analysis of meaning-making processes in multimodal interaction analysis. The book provides not only a practical methodological guide to;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to;

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Machine Learning Systems for Multimodal Affect Recognition

focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise;

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data;

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Social Interaction and L2 Classroom Discourse

interaction; for example, gaze, gestures and orientations to classroom artefacts. With an emphasis on the multimodal and multilingual resources, this;

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