Handbook of Human-Machine Systems

Giancarlo Fortino , David Kaber , Andreas N?rnberger , David Mendon?a 지음

Wiley-IEEE Press 2023년 07월 07일 출간

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Handbook of Human-Machine Systems Insightful and cutting-edge discussions of recent developments in human-machine systems In Handbook of Human-Machine Systems, a team of distinguished researchers delivers a comprehensive exploration of human-machine systems (HMS) research and development from a variety of illuminating perspectives. The book offers a big picture look at state-of-the-art research and technology in the area of HMS. Contributing authors cover Brain-Machine Interfaces and Systems, including assistive technologies like devices used to improve locomotion. They also discuss advances in the scientific and engineering foundations of Collaborative Intelligent Systems and Applications. Companion technology, which combines trans-disciplinary research in fields like computer science, AI, and cognitive science, is explored alongside the applications of human cognition in intelligent and artificially intelligent system designs, human factors engineering, and various aspects of interactive and wearable computers and systems. The book also includes: A thorough introduction to human-machine systems via the use of emblematic use cases, as well as discussions of potential future research challenges Comprehensive explorations of hybrid technologies, which focus on transversal aspects of human-machine systems Practical discussions of human-machine cooperation principles and methods for the design and evaluation of a brain-computer interface Perfect for academic and technical researchers with an interest in HMS, Handbook of Human-Machine Systems will also earn a place in the libraries of technical professionals practicing in areas including computer science, artificial intelligence, cognitive science, engineering, psychology, and neurobiology.

목차

List of Contributors xxi Preface xxxi 1 Introduction 1 Giancarlo Fortino, David Kaber, Andreas N rnberger, and David Mendonça 1.1 Book Rationale 1 1.2 Chapters Overview 2 Acknowledgments 8 References 8 2 Brain-Computer Interfaces: Recent Advances, Challenges, and Future Directions 11 Tiago H. Falk, Christoph Guger, and Ivan Volosyak 2.1 Introduction 11 2.2 Background 12 2.2.1 Active/Reactive BCIs 13 2.2.2 Passive BCIs 14 2.2.3 Hybrid BCIs 15 2.3 Recent Advances and Applications 15 2.3.1 Active/Reactive BCIs 15 2.3.2 Passive BCIs 16 2.3.3 Hybrid BCIs 16 2.4 Future Research Challenges 16 2.4.1 Current Research Issues 17 2.4.2 Future Research Directions 17 2.5 Conclusions 18 References 18 3 Brain Computer Interfaces for Affective Neurofeedback Applications 23 Lucas R. Trambaiolli and Tiago H. Falk 3.1 Introduction 23 3.2 Background 23 3.3 State-of-the-Art 24 3.3.1 Depressive Disorder 25 3.3.2 Posttraumatic Stress Disorder, PTSD 26 3.4 Future Research Challenges 27 Trim Size: 7in x 10in Single Column Fortino863632 ftoc.tex V1 - 06/07/2023 5:24pm Page vi [1] [1] [1] [1] vi Contents 3.4.1 Open Challenges 27 3.4.2 Future Directions 28 3.5 Conclusion 28 References 29 4 Pediatric Brain Computer Interfaces: An Unmet Need 35 Eli Kinney-Lang, Erica D. Floreani, Niloufaralsadat Hashemi, Dion Kelly, Stefanie S. Bradley, Christine Horner, Brian Irvine, Zeanna Jadavji, Danette Rowley, Ilyas Sadybekov, Si Long Jenny Tou, Ephrem Zewdie, Tom Chau, and Adam Kirton 4.1 Introduction 35 4.1.1 Motivation 36 4.2 Background 36 4.2.1 Components of a BCI 36 4.2.1.1 Signal Acquisition 36 4.2.1.2 Signal Processing 36 4.2.1.3 Feedback 3

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저자(글) Giancarlo Fortino

저자(글) David Kaber

저자(글) Andreas N?rnberger

저자(글) David Mendon?a