Process Machine Interactions
Process Machine Interactions

Author: Berend Denkena

Publisher: Springer Science & Business Media

Published: 2012-09-14

Total Pages: 517

ISBN-13: 3642324487

DOWNLOAD EBOOK

This contributed volume collects the scientific results of the DFG Priority Program 1180 Prediction and Manipulation of the Interactions between Structures and Processes. The research program has been conducted during the years 2005 and 2011, whereas the primary goal was the analysis of the interactions between processes and structures in modern production facilities. This book presents the findings of the 20 interdisciplinary subprojects, focusing on different manufacturing processes such as high performance milling, tool grinding or metal forming. It contains experimental investigations as well as mathematical modeling of production processes and machine interactions. New experimental advancements and novel simulation approaches are also included.

Man-Machine Interactions 2
Man-Machine Interactions 2

Author: Tadeusz Czachorski

Publisher: Springer Science & Business Media

Published: 2011-08-30

Total Pages: 447

ISBN-13: 3642231691

DOWNLOAD EBOOK

Man-machine interaction is the interdisciplinary field, focused on a human and a machine in conjunction. It is the intersection of computer science, behavioural sciences, social psychology, ergonomics, security. It encompasses study, design, implementation, and evaluation of small- and large-scale, interacting, computing, hardware and software systems dedicated for human use. Man-machine interaction builds on supportive knowledge from both sides, the machine side providing techniques, methods and technologies relevant for computer graphics, visualisation, programming environments, the human side bringing elements of communication theory, linguistics, social sciences, models of behaviour. The discipline aims to improve ways in which machines and their users interact, making hardware and software systems better adapted to user's needs, more usable, more receptive, and optimised for desired properties. This monograph is the second edition in the series, providing the reader with a selection of high-quality papers dedicated to current progress, new developments and research trends in man-machine interactions area. In particular, the topical subdivisions of this volume include human-computer interfaces, robot control and navigation systems, bio-data analysis and mining, pattern recognition for medical applications, sound, text and image processing, design and decision support, rough and fuzzy systems, crisp and fuzzy clustering, prediction and regression, algorithms and optimisation, and data management systems.

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction
Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Author: Abdulhamit Subasi

Publisher: Elsevier

Published: 2024-09-18

Total Pages: 426

ISBN-13: 0443291519

DOWNLOAD EBOOK

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

Cognitive Mechanism and Evaluation Method of Human-Machine Interaction in Intelligent Vehicle Cockpit
Cognitive Mechanism and Evaluation Method of Human-Machine Interaction in Intelligent Vehicle Cockpit

Author: Zhenwei You

Publisher: Scientific Research Publishing, Inc. USA

Published: 2023-08-15

Total Pages: 194

ISBN-13: 164997681X

DOWNLOAD EBOOK

The automotive industry is experiencing a significant technological shift, driven by electrification, connectivity, intelligence, sharing, and the trend towards “software-defined cars.” With this transformation, the traditional car cabin is evolving into a digital, intelligent, and mobile smart terminal that prioritizes passenger-centric design and data fusion. The design of in-car interaction has become essential in creating engaging, emotional, and humanized user experiences. Future success for traditional car manufacturers lies in developing effective communication methods and context for the intelligent car cabin while addressing relevant issues.

Human-Machine Interaction for Automated Vehicles
Human-Machine Interaction for Automated Vehicles

Author: Yifan Zhao

Publisher: Elsevier

Published: 2023-05-24

Total Pages: 261

ISBN-13: 0443189986

DOWNLOAD EBOOK

Human-Machine Interaction for Automated Vehicles: Driver Status Monitoring and the Takeover Process explains how to design an intelligent human-machine interface by characterizing driver behavior before and during the takeover process. Multiple solutions are presented to accommodate different sensing technologies, driving environments and driving styles. Depending on the availability and location of the camera, the recognition of driving and non-driving tasks can be based on eye gaze, head movement, hand gesture or a combination. Technical solutions to recognize drivers various behaviors in adaptive automated driving are described with associated implications to the driving quality. Finally, cutting-edge insights to improve the human-machine-interface design for safety and driving efficiency are also provided, based on the use of this sensing capability to measure drivers' cognition capability. - Covers everything needed to design an effective driver monitoring system, including sensors, areas to monitor, computing devices, and data analysis algorithms - Explores aspects of driver behavior that should be considered when designing an intelligent HMI - Examines the L3 take-over process in detail

Advanced Man-Machine Interaction
Advanced Man-Machine Interaction

Author: K.-F. Kraiss

Publisher: Springer Science & Business Media

Published: 2006-02-23

Total Pages: 496

ISBN-13: 9783540306184

DOWNLOAD EBOOK

Describes the implementation of modern features of man-machine interfaces and offers design guidelines, case studies and discusses algorithms for the implementation. Offers access to extensive public domain software for computer vision, classification and virtual reality.

Human-Centered Approaches in Industry 5.0: Human-Machine Interaction, Virtual Reality Training, and Customer Sentiment Analysis
Human-Centered Approaches in Industry 5.0: Human-Machine Interaction, Virtual Reality Training, and Customer Sentiment Analysis

Author: Hassan, Ahdi

Publisher: IGI Global

Published: 2024-01-16

Total Pages: 388

ISBN-13:

DOWNLOAD EBOOK

Rapid digital transformation is forcing the manufacturing industry to drastically alter its current trajectory for future success. The remarkable convergence of digitalization and manufacturing is reshaping industries, ushering in an era known as Industry 5.0. This revolutionary transition has given birth to digital manufacturing and smart factories, heralding a new dawn in the way we produce goods. The amalgamation of artificial intelligence (AI), robotics, the internet of things (IoT), augmented reality (AR), virtual reality (VR), big data analytics, cloud computing, and additive manufacturing stands poised to unlock unprecedented avenues in the realm of production. Practitioners, researchers, dreamers, and pioneers all are beckoned to explore the uncharted territories of digital innovation in manufacturing. Human-Centered Approaches in Industry 5.0: Human-Machine Interaction, Virtual Reality Training, and Customer Sentiment Analysis spans domains from mechanical and electrical engineering to computer science, from industrial economics to business strategy, and this book addresses this diverse audience. The book embarks on a comprehensive voyage, unveiling the latest evolutions and nascent trends within digital manufacturing and smart factories. From inception to execution, from design optimization to predictive maintenance, every phase of the manufacturing lifecycle is scrutinized through the lens of cutting-edge technologies. Rather than relying exclusively on the theoretical realm, this book also ventures into the crucible of real-world application, offering practical insights drawn from varied industries, including automotive, aerospace, and pharmaceuticals.

Advanced Machining Processes
Advanced Machining Processes

Author: Angelos P. Markopoulos

Publisher: CRC Press

Published: 2017-11-23

Total Pages: 271

ISBN-13: 1315305259

DOWNLOAD EBOOK

Modeling and machining are two terms closely related. The benefits of the application of modeling on machining are well known. The advances in technology call for the use of more sophisticated machining methods for the production of high-end components. In turn, more complex, more suitable, and reliable modeling methods are required. This book pertains to machining and modeling, but focuses on the special aspects of both. Many researchers in academia and industry, who are looking for ways to refine their work, make it more detailed, increase their accuracy and reliability, or implement new features, will gain access to knowledge in this book that is very scare to find elsewhere.

AI and Cognitive Science ’91
AI and Cognitive Science ’91

Author: Humphrey Sorensen

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 308

ISBN-13: 1447135628

DOWNLOAD EBOOK

This book contains the edited versions of papers presented at the Fourth Irish Conference on Artificial Intelligence and Cognitive Science (AICS'91), which was held at University College, Cork, Ireland on 19-20 September 1991. The main aims of this annual conference series are to promote AI research in Ireland, to provide a forum for the exchange of ideas amongst different disciplines concerned with the study of cognition, and to provide an opportunity for industry to see what research is being carried out in Ireland and how it might benefit from the results of this research. While most of the participants at the conference came from universities and companies within Ireland, a positive feature was the interest shown from outside the country, resulting in participants from Britain, USA and Italy. The keynote speaker was Professor James A. Bowen, North Carolina State University, who spoke on future trends in knowledge representation. The topics covered in the presented papers included fundamental approaches to AI, natural language, knowledge representation, information retrieval, deduction, epistemics and vision. The sponsors of the conference were Digital Equipment Co. (Galway) and Eolas, the Irish Science and Technology Board. March 1992 Humphrey Sorensen Contents Section 1: Foundations and Methodologies Toward a New Foundation for Cognitive Science S. 6 Nuallain. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Towards an Adequate Cognitive Model of Analogical Mapping M. T. Keane and S. Duff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 HOST: A HOlistic System Theory G. Hartnett and H. Sorensen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .