Human Machine Interface
Human Machine Interface

Author: Samuel Guccione

Publisher: Industrial Press

Published: 2016

Total Pages: 0

ISBN-13: 9780831135829

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This groundbreaking text/lab manual introduces significant concepts in the fields of Human Machine Interface (HMI) and Programmable Logic Controllers. Hands-on, step-by-step activities provide experiences in creating various process-control applications with HMI devices and software--programming that enables an HMI system operator to interface and interact directly with the system. This book is ideal for introducing high school and college students, plus those in the professional fields of process control and automation, to the capabilities and potential of HMI. Features Introduces students and those in industry to the capabilities of Human Machine Interface. The text and activities, while ranging from basic to more advanced, assume no prior experience working with HMI devices and software. Readers experiment with programming that enables an HMI system operator to interface and interact directly with the system The many hands-on lab activities provide experience in creating and working with the type of process control applications that are used extensively in manufacturing. Includes key information on connecting HMI to Programmable Logic Controllers. Focuses primarily on Allen Bradley devices and Rockwell software, but concepts covered are that are applicable to various systems.

Human-machine Interface Design for Process Control Applications
Human-machine Interface Design for Process Control Applications

Author: Jean-Yves Fiset

Publisher: ISA

Published: 2009

Total Pages: 194

ISBN-13: 9781934394359

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This work provides users and designers of industrial control and monitoring systems with an easy-to-use, yet effective, method to configure, design, and validate human-machine interfaces. It includes systems such as distributed control systems, supervisory control and data acquisition systems, and stand-alone units.

The Handbook of Human-Machine Interaction
The Handbook of Human-Machine Interaction

Author: Guy A. Boy

Publisher: CRC Press

Published: 2017-11-01

Total Pages: 384

ISBN-13: 1317029461

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The Handbook of Human-Machine Interaction features 20 original chapters and a conclusion focusing on human-machine interaction (HMI) from analysis, design and evaluation perspectives. It offers a comprehensive range of principles, methods, techniques and tools to provide the reader with a clear knowledge of the current academic and industry practice and debate that define the field. The text considers physical, cognitive, social and emotional aspects and is illustrated by key application domains such as aerospace, automotive, medicine and defence. Above all, this volume is designed as a research guide that will both inform readers on the basics of human-machine interaction from academic and industrial perspectives and also provide a view ahead at the means through which human-centered designers, including engineers and human factors specialists, will attempt to design and develop human-machine systems.

Multimodal Interface for Human-machine Communication
Multimodal Interface for Human-machine Communication

Author: P. C. Yuen

Publisher: World Scientific

Published: 2002

Total Pages: 288

ISBN-13: 9789810245948

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With the advance of speech, image and video technology, human-computer interaction (HCI) will reach a new phase.In recent years, HCI has been extended to human-machine communication (HMC) and the perceptual user interface (PUI). The final goal in HMC is that the communication between humans and machines is similar to human-to-human communication. Moreover, the machine can support human-to-human communication (e.g. an interface for the disabled). For this reason, various aspects of human communication are to be considered in HMC. The HMC interface, called a multimodal interface, includes different types of input methods, such as natural language, gestures, face and handwriting characters.The nine papers in this book have been selected from the 92 high-quality papers constituting the proceedings of the 2nd International Conference on Multimodal Interface (ICMI '99), which was held in Hong Kong in 1999. The papers cover a wide spectrum of the multimodal interface.

Friendly Interfaces Between Humans and Machines
Friendly Interfaces Between Humans and Machines

Author: P. V. S Rao

Publisher: Springer

Published: 2018-08-16

Total Pages: 124

ISBN-13: 981131750X

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This book discusses human–machine interactions, specifically focusing on making them as natural as human–human interaction. It is based on the premise that to get the right connect between human and machines, it is essential to understand not only the behavior of the person interacting with the machine, but also the limitations of the technology. Firstly, the authors review the evolution of language as a spontaneous, natural phenomenon in the overall scheme of the evolutionary development of living beings. They then go on to examine the possible approaches to understanding and representing the meaning and the common aspects of human–human and human–machine interactions, and introduce the keyconcept-keyword (also called minimal parsing) approach as a convenient and realistic way to implement usable human–machine interface (HMI) systems. For researchers looking for practical approaches, way beyond the realms of theory, this book is a must read.

Human-Machine Interfaces for Industrial Robotic Cells
Human-Machine Interfaces for Industrial Robotic Cells

Author: J. Norberto Pires

Publisher: Springer

Published: 2010

Total Pages: 0

ISBN-13: 9780387771533

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This text discusses how to make human-machine interfaces more natural and accessible to humans. By introducing the basics of human-machine interfaces and exploring examples designed to reveal the intricacies of programming, readers will gain a real insight on how to design, plan and implement a human-machine interface.

Brain-Computer Interfaces
Brain-Computer Interfaces

Author: Desney S. Tan

Publisher: Springer Science & Business Media

Published: 2010-06-10

Total Pages: 286

ISBN-13: 1849962723

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For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future.

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications
Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Author: Raut, Roshani

Publisher: IGI Global

Published: 2021-01-29

Total Pages: 304

ISBN-13: 1799875172

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Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.