Автор: Massimiliano Di Luca Название: Multisensory Softness ISBN: 1447165322 ISBN-13(EAN): 9781447165323 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduction.- Section 1: Perceptual Softness.- Physical Aspects of Softness Perception.- Visual-Haptic Softness.- Vibrotactile Sensation and Softness Perception.- Auditory Perception of Material Properties.- Computational Aspects of Softness Perception.- Section 2: Sensorimotor Softness.- Exploratory Movement Strategies in Softness Perception.- The Perception of the Centre of Elastic Force Fields: A Model of Integration of the Force and Position Signals.- Dynamic Combination of Movement and Force for Softness Perception.- Perception of Stiffness with Delay.- Section 3: Artificial Softness.- Natural and Artificial Motion Feedback in Compliance Perception.- Softness Displays.- Haptic Augmentation in Soft Tissue Interaction.
Автор: Christine M. Zwart, David Frakes Название: Control Grid Motion Estimation for Efficient Application of Optical Flow ISBN: 1627051295 ISBN-13(EAN): 9781627051293 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 36030.00 T Наличие на складе: Невозможна поставка. Описание: Explores control grid motion estimation and provides implementations of the approach that apply to data of multiple dimensionalities. Important current applications of control grid methods including registration and interpolation are also developed.
Автор: Sukhan Lee; Hanseok Ko; Songhwai Oh Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System ISBN: 3030080307 ISBN-13(EAN): 9783030080303 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Автор: Lee Suk-han; Hanseok Ko; Hernsoo Hahn Название: Multisensor Fusion and Integration for Intelligent Systems ISBN: 3642100570 ISBN-13(EAN): 9783642100574 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume is aimed at engineers, researchers, educators, and advanced students in the field of Multisensor Fusion and Integration for Intelligent Systems. It includes the recent progress made in theory and applications.
Автор: Lee Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System ISBN: 3319905082 ISBN-13(EAN): 9783319905082 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
Название: Multisensor data fusion ISBN: 1482263742 ISBN-13(EAN): 9781482263749 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world's leading data fusion researchers and academicians, this authoritative book:
Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors
Describes new materials and achievements in optimal fusion and multisensor filters
Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies
Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures
Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation
Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
Автор: Chang, Ni-bin Bai, Kaixu Название: Multisensor data fusion and machine learning for environmental remote sensing ISBN: 0367571978 ISBN-13(EAN): 9780367571979 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Невозможна поставка. Описание: This book rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuses on environmental application issues at global and regional scale, while using local scale ground-truth data for calibration and validation.
Автор: Massimiliano Di Luca Название: Multisensory Softness ISBN: 144717061X ISBN-13(EAN): 9781447170617 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduction.- Section 1: Perceptual Softness.- Physical Aspects of Softness Perception.- Visual-Haptic Softness.- Vibrotactile Sensation and Softness Perception.- Auditory Perception of Material Properties.- Computational Aspects of Softness Perception.- Section 2: Sensorimotor Softness.- Exploratory Movement Strategies in Softness Perception.- The Perception of the Centre of Elastic Force Fields: A Model of Integration of the Force and Position Signals.- Dynamic Combination of Movement and Force for Softness Perception.- Perception of Stiffness with Delay.- Section 3: Artificial Softness.- Natural and Artificial Motion Feedback in Compliance Perception.- Softness Displays.- Haptic Augmentation in Soft Tissue Interaction.
Currently, Internet and virtual reality communication is essentially audio-visual. The next important breakthrough of the Internet will be the communication and sharing of smell and taste experiences digitally. Audio-visual stimuli are frequency based, and they can be easily digitized and actuated. On the other hand, taste and smell stimuli are based on chemical molecules, therefore, they are not easy to digitize or actuate. To solve this problem, we are required to discover new digital actuation technologies for taste and smell. The authors of this book have experimented on developing digital actuation devices for several years. This book will provide a complete overview of the importance of digitizing taste and smell, prior works, proposed technologies by the authors, other state of the art research, advantages and limitations of the proposed methods, and future applications. We expect digital taste and smell technologies will revolutionize the field of multisensory augmented reality and open up new interaction possibilities in different disciplines such as Human Computer Interaction, Communication, and Augmented and Virtual Reality.
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