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Author: Chad Everett Joshua MacDonald
Publisher:
ISBN:
Category : Adaptation (Physiology)
Languages : en
Pages :
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Book Description
Author: Chad Everett Joshua MacDonald
Publisher:
ISBN:
Category : Adaptation (Physiology)
Languages : en
Pages :
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Book Description
Author: A.E. Patla
Publisher: Elsevier
ISBN: 0080867324
Category : Medical
Languages : en
Pages : 471
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Book Description
A large number of volumes have been produced summarizing the work on generation and control of rhythmic movements, in particular locomotion. Unfortunately most of them focus on locomotor studies done on animals. This edited volume redresses that imbalance by focusing completely on human locomotor behaviour. The very nature of the problem has both necessitated and attracted researchers from a wide variety of disciplines ranging from psychology, neurophysiology, kinesiology, engineering, medicine to computer science. The different and unique perspectives they bring to this problem provide a comprehensive picture of the current state of knowledge on the generation and regulation of human locomotor behaviour.A common unifying theme of this volume is studying the adaptability of human gait to obtain insights into the control of locomotion. The intentional focus on "adaptability" is meant to draw attention to the importance of understanding the generation and regulation of "skilled locomotor behaviour" rather than just the generation of basic locomotor patterns which has been the major focus of animal studies. The synthesis chapter at the end of the volume examines how the questions posed, the technology, and the experimental and theoretical paradigms have evolved over the years, and what the future has in store for this important research domain.
Author: Jun Ueda
Publisher: Academic Press
ISBN: 0128031522
Category : Technology & Engineering
Languages : en
Pages : 360
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Book Description
Human Modelling for Bio-inspired Robotics: Mechanical Engineering in Assistive Technologies presents the most cutting-edge research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications. Intended to provide researchers both in academia and industry with key content on which to base their developments, this book is organized and written by senior experts in their fields. Human Modeling for Bio-Inspired Robotics: Mechanical Engineering in Assistive Technologies offers a system-level investigation into human mechanisms that inspire the development of assistive technologies and humanoid robotics, including topics in modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation and integration. Each chapter is written by a subject expert and discusses its background, research challenges, key outcomes, application, and future trends. This book will be especially useful for academic and industry researchers in this exciting field, as well as graduate-level students to bring them up to speed with the latest technology in mechanical design and control aspects of the area. Previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing is assumed. Presents the most recent research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications Covers background information and fundamental concepts of human modelling Includes modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation, integration, and safety issues Assumes previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing
Author: Katja Mombaur
Publisher: Springer Science & Business Media
ISBN: 3642363687
Category : Technology & Engineering
Languages : en
Pages : 289
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Book Description
The model-based investigation of motions of anthropomorphic systems is an important interdisciplinary research topic involving specialists from many fields such as Robotics, Biomechanics, Physiology, Orthopedics, Psychology, Neurosciences, Sports, Computer Graphics and Applied Mathematics. This book presents a study of basic locomotion forms such as walking and running is of particular interest due to the high demand on dynamic coordination, actuator efficiency and balance control. Mathematical models and numerical simulation and optimization techniques are explained, in combination with experimental data, which can help to better understand the basic underlying mechanisms of these motions and to improve them. Example topics treated in this book are Modeling techniques for anthropomorphic bipedal walking systems Optimized walking motions for different objective functions Identification of objective functions from measurements Simulation and optimization approaches for humanoid robots Biologically inspired control algorithms for bipedal walking Generation and deformation of natural walking in computer graphics Imitation of human motions on humanoids Emotional body language during walking Simulation of biologically inspired actuators for bipedal walking machines Modeling and simulation techniques for the development of prostheses Functional electrical stimulation of walking.
Author: Kuo-Hua Chiang
Publisher:
ISBN:
Category : Gait in humans
Languages : en
Pages : 498
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Book Description
Author: James Lanphier Patton
Publisher:
ISBN:
Category : Human locomotion
Languages : en
Pages : 308
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Book Description
Author: C. David Remy
Publisher:
ISBN:
Category :
Languages : en
Pages : 236
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Book Description
Author: Thompson Sarkodie-Gyan
Publisher: Springer Nature
ISBN: 3031327810
Category : Technology & Engineering
Languages : en
Pages : 315
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Book Description
The textbook describes the complexity of the human dynamic behavior in space and its ability to produce coordinated, adaptive, dynamically stable movements under steady conditions while negotiating complex terrains and experiencing unexpected perturbations. Applying fundamental theories of biomechanics and physiology, the authors further consider the physical, perceptual, and motor aspects of the locomotor system towards the analysis of how humans can behave adaptively in space by virtue of their intelligent sensory-motor functions and to illuminate our understanding of how this complexity in behavior can provide insight into the neural control of locomotion of the musculoskeletal system. The text provides a foundation for describing the normal and abnormal human locomotor systems. The Human Locomotor System: Physiological and Technological Foundations is intended as a primary text for upper-undergraduate and graduate-level courses in neuroscience, gait analysis, kinesiology, physical therapy, sports science, and biomedical and rehabilitation engineering. It is also a valuable professional reference for scientists and engineers at medical and pharmaceutical companies involved in bioengineering research and development.
Author: Melya Boukheddimi
Publisher:
ISBN:
Category :
Languages : en
Pages : 114
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Book Description
The human body is a complex system made of more than 600 muscles, which contribute to the actuation of more than 200 Degrees of Freedom (DoFs) [35]. It is therefore a highly redundant system for most kinematic tasks. Many authors have suggested that the central nervous system does not independently control in real-time each muscle and DoFs [54]. Though the high number of muscles and DoFs makes motor control problems difficult, it offers high adaptation capabilities to the body for executing multiple tasks simultaneously when necessary [54]. Among the tasks that require a high level of motor coordination, bipedal gait is a crucial one. The bipedal gait is the natural means of human locomotion. Despite the fact that this movement is quite stereotyped across individuals, it is still unclear how the central nervous system coordinates the complex musculo-skeletal system for gait generation, and how the different sequences of the gait cycle are regulated. In order to address these issues, we proposed to simulate the human-like gait using a simplified model of poly- articulated rigid bodies (3D whole-body skeletal model including 42 degrees of freedom), on which we applied two different motion generation methods. Hence, this thesis is part of the human-like gait generation problem, using motion generation methods from robotics. The first contribution shows that controlling only a small set of adequately selected tasks is sufficient to closely reproduce the human gait kinematics. To this aim, a Hierarchical task controller is applied to the whole-body model with only 3 hierarchical tasks, to generate nine different human-like gaits. The analysis of the simulated gaits shows the emergence of significant human-like properties in walking. In order to validate our results, a comparison between the simulated and human reference joint rotations is conducted. In the end, a discussion is given to illustrate the interest of this approach comparing to related works.The second contribution is based on the well-known hypothesis that human motion is the result of an optimization process. We consider a reduced set of criteria, which seem to be optimized during the human gait, taken from the observation of human walking and the study of the related literature. Direct Optimal Control based on the Differential Dynamic Programming algorithm is applied following these criteria with the whole-body model to generate nine different walking motions. The simulated walking motions are then analyzed and compared to the human reference to show the quality of the gait generation process. The interest of this optimization approach for human-like motion generation is finally discussed. Finally, a comparison between the two methods from robotics is presented and discussed, involving an analysis of the obtained movements' quality.
Author: Karim Abdel-Malek
Publisher: Academic Press
ISBN: 0124046010
Category : Computers
Languages : en
Pages : 296
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Book Description
Simulate realistic human motion in a virtual world with an optimization-based approach to motion prediction. With this approach, motion is governed by human performance measures, such as speed and energy, which act as objective functions to be optimized. Constraints on joint torques and angles are imposed quite easily. Predicting motion in this way allows one to use avatars to study how and why humans move the way they do, given specific scenarios. It also enables avatars to react to infinitely many scenarios with substantial autonomy. With this approach it is possible to predict dynamic motion without having to integrate equations of motion -- rather than solving equations of motion, this approach solves for a continuous time-dependent curve characterizing joint variables (also called joint profiles) for every degree of freedom. - Introduces rigorous mathematical methods for digital human modelling and simulation - Focuses on understanding and representing spatial relationships (3D) of biomechanics - Develops an innovative optimization-based approach to predicting human movement - Extensively illustrated with 3D images of simulated human motion (full color in the ebook version)
