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Principles Sensorimotor Ctrl Learn by Tresilian J. Pdf
Sensorimotor Control and Learning is a groundbreaking text that provides a uniquely integrated treatment of sensory and motor processes, reflecting the latest research trends in both neuromotor control and the perceptual sciences. Richly illustrated and written in a clear and concise manner, the book emphasizes the intimate links between sensory and motor processes, providing an integrated view of perception and action. Features of the book: Emphasis on the multidisciplinary nature of the subject, which makes the text useful for a wide variety of readers A rigorous and thorough account of how motor behaviors are controlled, coordinated, and changed Numerous real-world examples relating to everyday experience The latest research in the field, including a unique introductory treatment of control theory Boxes highlighting and explaining more than 100 key terms, definitions and concepts throughout the text Essential background material on neuroscience, biomechanics and engineering, making it a self-contained book for students Over 600 high-quality illustrations by the author Sensorimotor Control and Learning is an indispensable resource for students of kinesiology and psychology, as well as students of other disciplines such as human factors, biomedical engineering, physiotherapy, and the neurosciences."
Sensorimotor Control and Learning by James Tresilian Pdf
A comprehensive introduction for undergraduate students. Principals of Sensorimotor Control and Learning presents an integrated picture of sensorimotor behaviour. It provides integrated coverage of: brain and behaviour, perception and action, theory and experiment, performance (kinematics and kinetics of behaviour) and outcomes.
The Lognormality Principle And Its Applications In E-security, E-learning And E-health by Rejean Plamondon,Angelo Marcelli,Miguel Angel Ferrer-ballester Pdf
This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introducing the most recent algorithms for extracting the lognormal components of complex movements in 2, 2.5 and 3 dimensions. It also vividly reports the most advanced applications to handwriting analysis and recognition, signature and writer verification, gesture recognition and calligraphy generation, evaluation of motor skills, improvement/degradation with aging, handwriting learning, education and developmental deficits, prescreening of children with ADHD (Attention Development and Hyperactivity Disorder), monitoring of concussion recovery, diagnosis and monitoring of Alzheimer's and Parkinson's diseases and aging effects in speech and handwriting.The volume provides a unique and useful source of references on the lognormality principle, an update on the most recent advances and an outlook at the most promising future developments in e-Security, e-Learning and e-Health.
Routledge Handbook of Motor Control and Motor Learning by Albert Gollhofer,Wolfgang Taube,Jens Bo Nielsen Pdf
The Routledge Handbook of Motor Control and Motor Learning is the first book to offer a comprehensive survey of neurophysiological, behavioural and biomechanical aspects of motor function. Adopting an integrative approach, it examines the full range of key topics in contemporary human movement studies, explaining motor behaviour in depth from the molecular level to behavioural consequences. The book contains contributions from many of the world ́s leading experts in motor control and motor learning, and is composed of five thematic parts: Theories and models Basic aspects of motor control and learning Motor control and learning in locomotion and posture Motor control and learning in voluntary actions Challenges in motor control and learning Mastering and improving motor control may be important in sports, but it becomes even more relevant in rehabilitation and clinical settings, where the prime aim is to regain motor function. Therefore the book addresses not only basic and theoretical aspects of motor control and learning but also applied areas like robotics, modelling and complex human movements. This book is both a definitive subject guide and an important contribution to the contemporary research agenda. It is therefore important reading for students, scholars and researchers working in sports and exercise science, kinesiology, physical therapy, medicine and neuroscience.
Human-in-the-Loop Robot Control and Learning by Luka Peternel,Jan Babič,Erhan Oztop,Tetsunari Inamura,Dingguo Zhang Pdf
In the past years there has been considerable effort to move robots from industrial environments to our daily lives where they can collaborate and interact with humans to improve our life quality. One of the key challenges in this direction is to make a suitable robot control system that can adapt to humans and interactively learn from humans to facilitate the efficient and safe co-existence of the two. The applications of such robotic systems include: service robotics and physical human-robot collaboration, assistive and rehabilitation robotics, semi-autonomous cars, etc. To achieve the goal of integrating robotic systems into these applications, several important research directions must be explored. One such direction is the study of skill transfer, where a human operator’s skilled executions are used to obtain an autonomous controller. Another important direction is shared control, where a robotic controller and humans control the same body, tool, mechanism, car, etc. Shared control, in turn invokes very rich research questions such as co-adaptation between the human and the robot, where the two agents can benefit from each other’s skills or must adapt to each other’s behavior to achieve effective cooperative task executions. The aim of this Research Topic is to help bridge the gap between the state-of-the-art and above-mentioned goals through novel multidisciplinary approaches in human-in-the-loop robot control and learning.
Anticipatory Behavior in Adaptive Learning Systems by Giovanni Pezzulo,Martin V. Butz,Olivier Sigaud,Gianluca Baldassarre Pdf
Anticipatory behavior in adaptive learning systems continues attracting attention of researchers in many areas, including cognitive systems, neuroscience, psychology, and machine learning. This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, held in Munich, Germany, in June 2008, in collaboration with the six-monthly Meeting of euCognition 'The Role of Anticipation in Cognition'. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The introductory chapter of this state-of-the-art survey not only provides an overview of the contributions included in this volume but also revisits the current available terminology on anticipatory behavior and relates it to the available system approaches. The papers are organized in topical sections on anticipation in psychology with focus on the ideomotor view, conceptualizations, anticipation and dynamical systems, computational modeling of psychological processes in the individual and social domains, behavioral and cognitive capabilities based on anticipation, and computational frameworks and algorithms for anticipation, and their evaluation.
This book brings together some of the latest research in robot applications, control, modeling, sensors and algorithms. Consisting of three main sections, the first section of the book has a focus on robotic surgery, rehabilitation, self-assembly, while the second section offers an insight into the area of control with discussions on exoskeleton control and robot learning among others. The third section is on vision and ultrasonic sensors which is followed by a series of chapters which include a focus on the programming of intelligent service robots and systems adaptations.
Springer Handbook of Computational Intelligence by Janusz Kacprzyk,Witold Pedrycz Pdf
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.
International Handbook of Psychology Learning and Teaching by Joerg Zumbach,Douglas A. Bernstein,Susanne Narciss,Giuseppina Marsico Pdf
The International Handbook of Psychology Learning and Teaching is a reference work for psychology learning and teaching worldwide that takes a multi-faceted approach and includes national, international, and intercultural perspectives. Whether readers are interested in the basics of how and what to teach, in training psychology teachers, in taking steps to improve their own teaching, or in planning or implementing research on psychology learning and teaching, this handbook will provide an excellent place to start. Chapters address ideas, issues, and innovations in the teaching of all psychology courses, whether offered in psychology programs or as part of curricula in other disciplines. The book also presents reviews of relevant literature and best practices related to everything from the basics of course organization to the use of teaching technology. Three major sections consisting of several chapters each address “Teaching Psychology in Tertiary (Higher) Education”, “Psychology Learning and Teaching for All Audiences”, and “General Educational and Instructional Approaches to Psychology Learning and Teaching”.
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control by Frank L. Lewis,Derong Liu Pdf
Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.
From Motor Learning to Interaction Learning in Robots by Olivier Sigaud,Jan Peters Pdf
From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop “From motor to interaction learning in robots” held at the IEEE/RSJ International Conference on Intelligent Robot Systems. The major aim of the book is to give students interested the topics described above a chance to get started faster and researchers a helpful compandium.
Metrics of Sensory Motor Coordination and Integration in Robots and Animals by Fabio Bonsignorio,Elena Messina,Angel P. del Pobil,John Hallam Pdf
This book focuses on a critical issue in the study of physical agents, whether natural or artificial: the quantitative modelling of sensory–motor coordination. Adopting a novel approach, it defines a common scientific framework for both the intelligent systems designed by engineers and those that have evolved naturally. As such it contributes to the widespread adoption of a rigorous quantitative and refutable approach in the scientific study of ‘embodied’ intelligence and cognition. More than 70 years after Norbert Wiener’s famous book Cybernetics: or Control and Communication in the Animal and the Machine (1948), robotics, AI and life sciences seem to be converging towards a common model of what we can call the ‘science of embodied intelligent/cognitive agents’. This book is interesting for an interdisciplinary community of researchers, technologists and entrepreneurs working at the frontiers of robotics and AI, neuroscience and general life and brain sciences.
Author : Ning Lan,Vincent C. K. Cheung,Simon C. Gandevia Publisher : Frontiers Media SA Page : 180 pages File Size : 48,7 Mb Release : 2017-04-17 Category : Electronic book ISBN : 9782889451302
Neural and Computational Modeling of Movement Control by Ning Lan,Vincent C. K. Cheung,Simon C. Gandevia Pdf
In the study of sensorimotor systems, an important research goal has been to understand the way neural networks in the spinal cord and brain interact to control voluntary movement. Computational modeling has provided insight into the interaction between centrally generated commands, proprioceptive feedback signals and the biomechanical responses of the moving body. Research in this field is also driven by the need to improve and optimize rehabilitation after nervous system injury and to devise biomimetic methods of control in robotic devices. This research topic is focused on efforts dedicated to identify and model the neuromechanical control of movement. Neural networks in the brain and spinal cord are known to generate patterned activity that mediates coordinated activation of multiple muscles in both rhythmic and discrete movements, e.g. locomotion and reaching. Commands descending from the higher centres in the CNS modulate the activity of spinal networks, which control movement on the basis of sensory feedback of various types, including that from proprioceptive afferents. The computational models will continue to shed light on the central strategies and mechanisms of sensorimotor control and learning. This research topic demonstrated that computational modeling is playing a more and more prominent role in the studies of postural and movement control. With increasing ability to gather data from all levels of the neuromechanical sensorimotor systems, there is a compelling need for novel, creative modeling of new and existing data sets, because the more systematic means to extract knowledge and insights about neural computations of sensorimotor systems from these data is through computational modeling. While models should be based on experimental data and validated with experimental evidence, they should also be flexible to provide a conceptual framework for unifying diverse data sets, to generate new insights of neural mechanisms, to integrate new data sets into the general framework, to validate or refute hypotheses and to suggest new testable hypotheses for future experimental investigation. It is thus expected that neural and computational modeling of the sensorimotor system should create new opportunities for experimentalists and modelers to collaborate in a joint endeavor to advance our understanding of the neural mechanisms for postural and movement control. The editors would like to thank Professor Arthur Prochazka, who helped initially to set up this research topic, and all authors who contributed their articles to this research topic. Our appreciation also goes to the reviewers, who volunteered their time and effort to help achieve the goal of this research topic. We would also like to thank the staff members of editorial office of Frontiers in Computational Neuroscience for their expertise in the process of manuscript handling, publishing, and in bringing this ebook to the readers. The support from the Editor-in-Chief, Dr. Misha Tsodyks and Dr. Si Wu is crucial for this research topic to come to a successful conclusion. We are indebted to Dr. Si Li and Ms. Ting Xu, whose assistant is important for this ebook to become a reality. Finally, this work is supported in part by grants to Dr. Ning Lan from the Ministry of Science and Technology of China (2011CB013304), the Natural Science Foundation of China (No. 81271684, No. 61361160415, No. 81630050), and the Interdisciplinary Research Grant cross Engineering and Medicine by Shanghai Jiao Tong University (YG20148D09). Dr. Vincent Cheung is supported by startup funds from the Faculty of Medicine of The Chinese University of Hong Kong. Guest Associate Editors Ning Lan, Vincent Cheung, and Simon Gandevia
Neuromechanics and Control of Physical Behavior: from Experimental and Computational Formulations to Bio-inspired Technologies by Massimo Sartori,Francisco J. Valero-Cuevas,Alfred C. Schouten,Matthew Tresch,Yoshihiko Nakamura,Manish Sreenivasa Pdf
The term "neuromechanics" defines an integrative approach that combines the neuromuscular control and the biomechanical aspects of physical behavior in humans and animals. Crucial to this approach is a detailed description and modeling of the interaction between the nervous system and the controlled biomechanical plant. Only then do we have the broader context within which to understand evolution, movement mechanics, neural control, energetics, disability and rehabilitation. In addition to enabling new basic science directions, understanding the interrelations between movement neural and mechanical function should also be leveraged for the development of personalized wearable technologies to augment or restore the motor capabilities of healthy or impaired individuals. Similarly, this understanding will empower us to revisit current approaches to the design and control of robotic and humanoid systems to produce truly versatile human-like physical behavior and adaptation in real-world environments. This Research Topic is therefore poised at an opportune moment to promote understanding of apparently disparate topics into a coherent focus.
Anticipatory Behavior in Adaptive Learning Systems by Martin V. Butz,Olivier Sigaud,Giovanni Pezzulo,Gianluca Baldassarre Pdf
This book presents the refereed post-proceedings of the Third International Workshop on Anticipatory Behavior in Adaptive Learning Systems. Twenty full papers were chosen from among the many submissions. Papers are organized into sections covering anticipatory aspects in brains, language, and cognition; individual anticipatory frameworks; learning predictions and anticipations; anticipatory individual behavior; and anticipatory social behavior.
