𝔖 Scriptorium
✦   LIBER   ✦
📁

Cybernics: Fusion of human, machine and information systems

✍ Scribed by Yoshiyuki Sankai, Kenji Suzuki, Yasuhisa Hasegawa (eds.)

Publisher
Springer Japan
Year
2014
Tongue
English
Leaves
338
Edition
1
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

Эта свежая книга рассказывает о технологиях интеграции организма человека с цифровыми устройствами.
Cybernics is a new domain of science that centers on cybernetics, mechatronics, and informatics it integrates humans and robots functionally, organically, and socially with information technology. It is a fused and complex interdisciplinary area in which robotics, brainscience and neuroscience, information technology, ergonomics, human society, Kansei engineering, physiology, sociological sciences, and even ethics are deeply intertwined.

✦ Table of Contents

Front Matter....Pages i-x
Front Matter....Pages 1-1
Cybernics: Fusion of Human, Machine and Information Systems....Pages 3-18
Front Matter....Pages 19-19
Wearable Robot Technology....Pages 21-39
Robot Motion Control for Physical Assistance....Pages 41-64
Motor Control and Learning....Pages 65-88
Movement Disorder and Rehabilitation....Pages 89-98
Regenerative Medicine for Spinal Cord Injury Using Olfactory Mucosa Autografts....Pages 99-108
Front Matter....Pages 109-109
Augmented Human Technology....Pages 111-131
Haptic Interface and Cybernics....Pages 133-162
Introduction to Mediated Communication....Pages 163-183
Robotics for Supporting Childhood Education....Pages 185-195
Subjectivity-Kansei Computing....Pages 197-233
Human–Machine Coagency for Collaborative Control....Pages 235-265
Electroneurophysiology and Brain Functional Imaging for Brain-Machine-Interface....Pages 267-286
Front Matter....Pages 287-287
Roboethical Arguments and Applied Ethics: Being a Good Citizen....Pages 289-298
Safety and Ethical Issues in the Development of Human Assistive Robots....Pages 299-313
Standards and Statutes: ‘Soft’ Law and ‘Hard’ Law....Pages 315-333
Back Matter....Pages 335-339

✦ Subjects

Robotics and Automation; Management of Computing and Information Systems; Nursing; Neuropsychology; Biomedical Engineering

📜 SIMILAR VOLUMES

Human and Machine Perception: Informatio
📁 Human and Machine Perception: Information Fusion
✍ Brian C. J. Moore (auth.), Virginio Cantoni, Vito Di Gesù, Alessandra Setti, Dom 📂 Library 📅 1997 🏛 Springer US 🌐 English

<p>The following are th€:" proceedings of the Second International Workshop on Human and Machine Perception held in Trabia, Italy, on July 21~25, 1996, under the auspices of two Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR) and the 'Centro In

Information Fusion: Machine Learning Met
📁 Information Fusion: Machine Learning Methods
✍ Jinxing Li, Bob Zhang, David Zhang 📂 Library 📅 2022 🏛 Springer 🌐 English

<p><span>In the big data era, increasing information can be extracted from the same source object or scene. For instance, a person can be verified based on their fingerprint, palm print, or iris information, and a given image can be represented by various types of features, including its texture, co

Human-Centered Information Fusion
📁 Human-Centered Information Fusion
✍ David L. Hall, John M. Jordan 📂 Library 📅 2010 🏛 Artech House 🌐 English

Information fusion refers to the merging of information from disparate sources with differing conceptual, contextual and typographical representations. Rather than focusing on traditional data fusion applications which have been mainly concerned with physical military targets, this unique resource e

Information Fusion for Cyber-Security An
📁 Information Fusion for Cyber-Security Analytics
✍ Izzat M Alsmadi, George Karabatis, Ahmed Aleroud (eds.) 📂 Library 📅 2017 🏛 Springer International Publishing 🌐 English

<p><p>This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on infor