Human-Machine Interaction and IoT Applications for a Smarter World


Book Description

Human-Machine Interaction and IoT Applications for a Smarter World explores the futuristic trends at the cutting edge of study and research on Human-Machine Interaction (HMI), which is also known as Human-Computer Interface (HCI), and the Internet of Things (IoT) by featuring applications in a proficient, adaptable, and manageable way. It covers the mainstays of the IoT world through a thorough description of the present advancements, systems, and structures. This book: Discusses algorithms and design methodologies for the implementation of HMI based IoT systems. Covers real-time utility of IoT-based devices and systems. Provides human-machine interactive technologies and smart applications using IoT. Covers cyber-physical systems and IoT in HMI, using a blend of theoretical knowledge with a practical approach. It also covers important concepts including smart grid and energy consumption monitoring, smart vehicular and transportation systems, smart home automation, automatic identification systems, supervisory control and data acquisition systems, designing and integrating heterogeneous Human-Machine interactions, virtual and augmented reality, natural language processing, computer vision, and automatic speech recognition. This text will be useful for senior undergraduate, graduate students, and academic researchers in areas including electrical, electronics, and communications engineering, as well as computer science.




Human-Machine Interaction and IoT Applications for a Smarter World


Book Description

Human-Machine Interaction and IoT Applications for a Smarter World explores the futuristic trends at the cutting edge of study and research on Human-Machine Interaction (HMI), which is also known as Human-Computer Interface (HCI), and the Internet of Things (IoT) by featuring applications in a proficient, adaptable, and manageable way. It covers the mainstays of the IoT world through a thorough description of the present advancements, systems, and structures. This book: Discusses algorithms and design methodologies for the implementation of HMI based IoT systems. Covers real-time utility of IoT-based devices and systems. Provides human-machine interactive technologies and smart applications using IoT. Covers cyber-physical systems and IoT in HMI, using a blend of theoretical knowledge with a practical approach. It also covers important concepts including smart grid and energy consumption monitoring, smart vehicular and transportation systems, smart home automation, automatic identification systems, supervisory control and data acquisition systems, designing and integrating heterogeneous Human-Machine interactions, virtual and augmented reality, natural language processing, computer vision, and automatic speech recognition. This text will be useful for senior undergraduate, graduate students, and academic researchers in areas including electrical, electronics, and communications engineering, as well as computer science.




Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction


Book Description

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in both Artificial Intelligence and Human-Machine Interaction. The book not only provides cross disciplinary research in the fields of multimodal signal acquisition and sensing, analysis, IoTs (Internet of Things), Artificial Intelligence, and system architectures, it also evaluates the role of Artificial Intelligence I in relation to the realization of contemporary Human Machine Interaction (HMI) systems.Readers are introduced to the multimodal signals and their role in the identification of the intended subjects, mental state and the realization of HMI systems are explored, and the applications of signal processing and machine/ensemble/deep learning for HMIs are assessed. A description of proposed methodologies is provided, and related works are also presented. This is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of HMIs, Brain-Computer Interface (BCI), Prosthesis, Computer vision, and Mental state estimation, and all those who wish to broaden their knowledge in the allied field. - Covers advances in the multimodal signal processing and artificial intelligence assistive HMIs - Presents theories, algorithms, realizations, applications, approaches, and challenges that will have their impact and contribution in the design and development of modern and effective HMI (Human Machine Interaction) system - Presents different aspects of the multimodal signals, from the sensing to analysis using hardware/software, and making use of machine/ensemble/deep learning in the intended problem-solving




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


Book Description

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.




Human-Machine Interface


Book Description

HUMAN-MACHINE INTERFACE The book contains the latest advances in healthcare and presents them in the frame of the Human-Machine Interface (HMI). The Human-Machine Interface (HMI) industry has witnessed the evolution from a simple push button to a modern touch-screen display. HMI is a user interface that allows humans to operate controllers for machines, systems, or instruments. Most medical procedures are improved by HMI systems, from calling an ambulance to ensuring that a patient receives adequate treatment on time. This book describes the scenario of biomedical technologies in the context of the advanced HMI, with a focus on direct brain-computer connection. The book describes several HMI tools and related techniques for analyzing, creating, controlling, and upgrading healthcare delivery systems, and provides details regarding how advancements in technology, particularly HMI, ensure ethical and fair use in patient care. Audience The target audience for this book is medical personnel and policymakers in healthcare and pharmaceutical professionals, as well as engineers and researchers in computer science and artificial intelligence.




Towards Smart World


Book Description

Towards Smart World: Homes to Cities Using Internet of Things provides an overview of basic concepts from the rising of machines and communication to IoT for making cities smart, real-time applications domains, related technologies, and their possible solutions for handling relevant challenges. This book highlights the utilization of IoT for making cities smart and its underlying technologies in real-time application areas such as emergency departments, intelligent traffic systems, indoor and outdoor securities, automotive industries, environmental monitoring, business entrepreneurship, facial recognition, and motion-based object detection. Features The book covers the challenging issues related to sensors, detection, and tracking of moving objects, and solutions to handle relevant challenges. It contains the most recent research analysis in the domain of communications, signal processing, and computing sciences for facilitating smart homes, buildings, environmental conditions, and cities. It presents the readers with practical approaches and future direction for using IoT in smart cities and discusses how it deals with human dynamics, the ecosystem, and social objects and their relation. It describes the latest technological advances in IoT and visual surveillance with their implementations. This book is an ideal resource for IT professionals, researchers, undergraduate or postgraduate students, practitioners, and technology developers who are interested in gaining deeper knowledge and implementing IoT for smart cities, real-time applications areas, and technologies, and a possible set of solutions to handle relevant challenges. Dr. Lavanya Sharma is an Assistant Professor in the Amity Institute of Information Technology at Amity University UP, Noida, India. She has been a recipient of several prestigious awards during her academic career. She is an active nationally recognized researcher who has published numerous papers in her field.




Emerging Technologies and Applications for a Smart and Sustainable World


Book Description

This reference distills information about emerging technologies and applications for smart city design and sustainable urban planning. Chapters present technology use-cases that have radical novelty and high scalability with a prominent impact on community living standards. These technologies prepare urban and rural dwellings for the transformation to the smart world. Applications and techniques highlighted in the book use a combination of artificial intelligence and IoT technologies in areas like transportation, energy, healthcare, education, governance, and manufacturing, to name a few. The book serves as a learning resource for smart city design and sustainable infrastructure planning. Scholars and professionals who are interested in understanding ways for transforming communities into smart communities can also benefit from the cases presented in the book.




Human-Computer Interaction


Book Description

The pervasive influence of technology continuously shapes our daily lives. From smartphones to smart homes, technology is revolutionizing the way we live, work and interact with each other. Human-computer interaction (HCI) is a multidisciplinary research field focusing on the study of people interacting with information technology and plays a critical role in the development of computing systems that work well for the people using them, ensuring the seamless integration of interactive systems into our technologically driven lifestyles. The book series contains six volumes providing extensive coverage of the field, wherein each one addresses different theoretical and practical aspects of the HCI discipline. Readers will discover a wealth of information encompassing the foundational elements, state-of-the-art review in established and emerging domains, analysis of contemporary advancements brought about by the evolution of interactive technologies and artificial intelligence, as well as the emergence of diverse societal needs and application domains. These books: · Showcase the pivotal role of HCI in designing interactive applications across a diverse array of domains. · Explore the dynamic relationship between humans and intelligent environments, with a specific emphasis on the role of Artificial Intelligence (AI) and the Internet of Things (IoT). · Provide an extensive exploration of interaction design by examining a wide range of technologies, interaction techniques, styles and devices. · Discuss user experience methods and tools for the design of user-friendly products and services. · Bridge the gap between software engineering and human-computer interaction practices for usability, inclusion and sustainability. These volumes are an essential read for individuals interested in human-computer interaction research and applications.




Human-Computer Interaction in Intelligent Environments


Book Description

This book offers readers a holistic understanding of intelligent environments, encompassing their definition, design, interaction paradigms, the role of Artificial Intelligence (AI), and the associated broader philosophical and procedural aspects. Elaborates on AI research and the creation of intelligent environments. Zooms in on designing interactions with the IoT, intelligent agents and robots. Discusses overarching topics for the design of intelligent environments, including user interface adaptation, design for all, sustainability, cybersecurity, privacy and trust. Provides insights into the intricacies of various intelligent environment contexts, such as in automotive, urban interfaces, smart cities and beyond. This book has been written for individuals interested in Human-Computer Interaction research and applications.




Advances in Deep Learning Applications for Smart Cities


Book Description

Within the past decade, technology has grown exponentially, and governments have promoted smart cities. Emerging smart cities have become both crucibles and showrooms for the practical application of the internet of things (IoT), cloud computing, and the integration of big data into everyday life. This complex concoction requires new thinking of the synergistic utilization of deep learning and blockchain methods and data-driven decision making with automation infrastructure, autonomous transportation, and more. Advances in Deep Learning Applications for Smart Cities provides a global perspective on current and future trends concerning the integration of deep learning and blockchain for smart cities. It provides valuable insights on the best practices and success factors for smart cities. Covering topics such as digital healthcare, object detection methods, and power consumption, this book is an excellent reference for researchers, scientists, libraries, industry experts, government organizations, students and educators of higher education, business professionals, communication and marketing agencies, entrepreneurs, and academicians.