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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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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

and machine learning problems. Potential applications include health care, robotics, sports, human-machine interaction, among others.;

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Rules of Encounter

of the machine interaction itself (the resulting artificial society). Rules of Encounter applies the general approach and the mathematical tools;

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Human Factors Engineering and Ergonomics

and controls; psychophysics; cognitive processes; human-computer interaction, artificial intelligence and artificial life; stress and human;

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Human Factors Engineering and Ergonomics

and controls; psychophysics; cognitive processes; human-computer interaction, artificial intelligence and artificial life; stress and human;

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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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Imitation in Animals and Artifacts

of humans and other animals draws on fields as diverse as animal behavior, artificial intelligence, computer science, comparative psychology;

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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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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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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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Artificial Intelligence and Machine Learning

processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.;

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Musical Robots and Interactive Multimodal Systems

development, including: computer science, multimodal interfaces and processing, artificial intelligence, electronics, robotics, mechatronics and more;

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MPRSS 2016

Signals in Human-Computer-Interaction, MPRSS 2016, held in Cancun, Mexico, in December 2016.The 13 revised papers presented focus on pattern;

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Digital Interaction and Machine Intelligence

human needs. Therefore, it is important to integrate so far independent scientific areas: broadly defined artificial intelligence and human;

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Modelling Human Motion: From Human Perception to Robot Design

human-robot interaction. This book considers the complete human-robot cycle, from an examination of how humans perceive motion and;

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Advances in Physical Agents II

social robots; multiagent systems; human-robot interaction; perception systems; and deep-learning techniques applied to the robotics. Based on;

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Machine Law, Ethics, and Morality in the Age of Artificial Intelligence

practices to guide interaction and use with these complex machines, interaction with them will turn disastrous. Machine Law, Ethics, and;

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Machine Law, Ethics, and Morality in the Age of Artificial Intelligence

practices to guide interaction and use with these complex machines, interaction with them will turn disastrous. Machine Law, Ethics, and Morality;

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ICDSMLA 2019

. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human-Computer Interaction;

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Multimodal Interactive Handwritten Text Transcription

interfaces are used to obtain an easier and more comfortable human-machine interaction.;

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Artificial Intelligence

, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.;

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Machine Learning and Information Processing

solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT;

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Natural and Artificial Computation for Biomedicine and Neuroscience

such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big;

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Biomedical Applications Based on Natural and Artificial Computing

as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data;

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Agents and Artificial Intelligence

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Agents and Artificial;

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Machine Learning and Information Processing

, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.;

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