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Human Machine Interaction Using Hybrid Biological Signals

In the last decade, digital revolution has improved the living standard of people in cities and urba;...

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Intelligent Robotics and Applications

, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human;

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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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Human Machine Interaction

This book consists of a set of researches focusing on various proposals centred on the human-machine interaction development process. The;

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Towards Adaptive Spoken Dialog Systems

negative emotions in spoken dialog systems and develop novel approaches to speech-based emotion recognition using hybrid approach to model emotions;

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Coverbal Synchrony in Human-Machine Interaction

-machine interaction. Fusion of both topics is a challenging agenda in research and production spheres. The important goal of human-machine;

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The Handbook of Human-Machine Interaction

The Handbook of Human-Machine Interaction features 20 original chapters and a conclusion focusing on human-machine interaction (HMI) from;

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Intelligent Computing Theories and Application

in topical sections such as Pattern Recognition; Image Processing; Virtual Reality and Human-Computer Interaction; Healthcare Informatics Theory and;

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Condition Monitoring with Vibration Signals

accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers;

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

signals. The book explores the analysis of opinions in human-human interaction and tackles the less-explored (yet crucial) challenges related;

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Signal Processing and Machine Learning with Applications

presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine;

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Human Machine Interaction

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

brain signals, and also on: text and character analysis, human interaction, and sentiment analysis;

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Intensifying Activated Sludge Using Media-Supported Biofilms

current approaches for intensifying biological wastewater treatment processes and their mechanistic bases. Examines hybrid suspended;

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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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Multimodal Analyses enabling Artificial Agents in Human Machine Interaction

Agents in Human Interaction, MA3HMI 2014, held in Conjunction with INTERSPEECH 2014, in Singapore, Singapore, on September 14th, 2014. The 9;

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Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction

Human-Machine Interaction, held in Patras, Greece, October 29-31, 2007, hosted by the 19th IEEE International Conference on Tools with;

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Human-in-the-Loop Machine Learning

almost exclusively on the algorithms, not the human-computer interaction part of the systems. This can leave a big knowledge gap for data;

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Behavior Analysis with Machine Learning Using R

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse;

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International Conference on Intelligent and Smart Computing in Data Analytics

, human-computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from;

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Multiphase Hybrid Electric Machines

This book provides an insight into the design, modeling, control, and application of multiphase hybrid permanent magnet machines for;

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Advanced Rehabilitative Technology

musculoskeletal models and establish the neural interfaces, and how to develop neural devices and control them efficiently using biological signals. The;

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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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Cyber Physical, Computer and Automation System

, 13-15 November 2019. The book includes chapters in three prime areas: (1) autonomous systems and controls; (2) human-machine interaction and;

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Quantifying and Processing Biomedical and Behavioral Signals

realistic application scenarios where human interaction is the focus, in order to identify new methods for data processing and data flow;

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