Human Dynamics
Author: Sandra Seagal
Publisher:
Published: 1997-01-01
Total Pages: 335
ISBN-13: 9781883823061
DOWNLOAD EBOOKRead and Download eBook Full
Author: Sandra Seagal
Publisher:
Published: 1997-01-01
Total Pages: 335
ISBN-13: 9781883823061
DOWNLOAD EBOOKAuthor: Aydin Tözeren
Publisher: Springer Science & Business Media
Published: 2006-04-18
Total Pages: 332
ISBN-13: 038721691X
DOWNLOAD EBOOKA quantitative approach to studying human biomechanics, presenting principles of classical mechanics using case studies involving human movement. Vector algebra and vector differentiation are used to describe the motion of objects and 3D motion mechanics are treated in depth. Diagrams and software-created sequences are used to illustrate human movement.
Author: Sy-Miin Chow
Publisher: Routledge
Published: 2011-02-25
Total Pages: 442
ISBN-13: 1135262586
DOWNLOAD EBOOKThis interdisciplinary volume features contributions from researchers in the fields of psychology, neuroscience, statistics, computer science, and physics. State-of-the-art techniques and applications used to analyze data obtained from studies in cognition, emotion, and electrophysiology are reviewed along with techniques for modeling in real time and for examining lifespan cognitive changes, for conceptualizing change using item response, nonparametric and hierarchical models, and control theory-inspired techniques for deriving diagnoses in medical and psychotherapeutic settings. The syntax for running the analyses presented in the book is provided on the Psychology Press site. Most of the programs are written in R while others are for Matlab, SAS, Win-BUGS, and DyFA. Readers will appreciate a review of the latest methodological techniques developed in the last few years. Highlights include an examination of: Statistical and mathematical modeling techniques for the analysis of brain imaging such as EEGs, fMRIs, and other neuroscience data Dynamic modeling techniques for intensive repeated measurement data Panel modeling techniques for fewer time points data State-space modeling techniques for psychological data Techniques used to analyze reaction time data. Each chapter features an introductory overview of the techniques needed to understand the chapter, a summary, and numerous examples. Each self-contained chapter can be read on its own and in any order. Divided into three major sections, the book examines techniques for examining within-person derivations in change patterns, intra-individual change, and inter-individual differences in change and interpersonal dynamics. Intended for advanced students and researchers, this book will appeal to those interested in applying state-of-the-art dynamic modeling techniques to the the study of neurological, developmental, cognitive, and social/personality psychology, as well as neuroscience, computer science, and engineering.
Author: Andrzej Nowak
Publisher: Springer
Published: 2013-01-08
Total Pages: 244
ISBN-13: 3642314368
DOWNLOAD EBOOKThis book, edited and authored by a closely collaborating network of social scientists and psychologists, recasts typical research topics in these fields into the language of nonlinear, dynamic and complex systems. The aim is to provide scientists with different backgrounds - physics, applied mathematics and computer sciences - with the opportunity to apply the tools of their trade to an altogether new range of possible applications. At the same time, this book will serve as a first reference for a new generation of social scientists and psychologists wishing to familiarize themselves with the new methodology and the "thinking in complexity".
Author: Peter Hansford
Publisher:
Published: 2014-11-17
Total Pages:
ISBN-13: 9780692308936
DOWNLOAD EBOOKAuthor: Roy M. Anderson
Publisher: Oxford University Press
Published: 1991
Total Pages: 772
ISBN-13: 9780198540403
DOWNLOAD EBOOKThis book deals with infectious diseases -- viral, bacterial, protozoan and helminth -- in terms of the dynamics of their interaction with host populations. The book combines mathematical models with extensive use of epidemiological and other data. This analytic framework is highly useful for the evaluation of public health strategies aimed at controlling or eradicating particular infections. Such a framework is increasingly important in light of the widespread concern for primary health care programs aimed at such diseases as measles, malaria, river blindness, sleeping sickness, and schistosomiasis, and the advent of AIDS/HIV and other emerging viruses. Throughout the book, the mathematics is used as a tool for thinking clearly about fundamental and applied problems having to do with infectious diseases. The book is divided into two parts, one dealing with microparasites (viruses, bacteria and protozoans) and the other with macroparasites (helminths and parasitic arthropods). Each part begins with simple models, developed in a biologically intuitive way, and then goes on to develop more complicated and realistic models as tools for public health planning. The book synthesizes previous work in this rapidly growing field (much of which is scattered between the ecological and the medical literature) with a good deal of new material.
Author: William R. Burch
Publisher: Yale University Press
Published: 2017-08-22
Total Pages: 313
ISBN-13: 0300231636
DOWNLOAD EBOOKA landmark book that strives to provide both grand theory and practical application, innovatively describing the structure and dynamics of human ecosystems As the world faces ever more complex and demanding environmental and social challenges, the need for interdisciplinary models and practical guidance becomes acute. The Human Ecosystem Model described in this landmark book provides an innovative response. Broad in scope, detailed in method, at once theoretical and applied, this grand study offers an in-depth understanding of human ecosystems and tools for action. The authors draw from Goethe’s Faust, classic anthropology and sociology studies, contemporary ecosystem ecology, Buddhist ethics, and more to create a paradigm-shifting model and a major advance in interdisciplinary ecology.
Author: Raoul Huys
Publisher: Springer Science & Business Media
Published: 2010-12-08
Total Pages: 216
ISBN-13: 3642162614
DOWNLOAD EBOOKHumans engage in a seemingly endless variety of different behaviors, of which some are found across species, while others are conceived of as typically human. Most generally, behavior comes about through the interplay of various constraints – informational, mechanical, neural, metabolic, and so on – operating at multiple scales in space and time. Over the years, consensus has grown in the research community that, rather than investigating behavior only from bottom up, it may be also well understood in terms of concepts and laws on the phenomenological level. Such top down approach is rooted in theories of synergetics and self-organization using tools from nonlinear dynamics. The present compendium brings together scientists from all over the world that have contributed to the development of their respective fields departing from this background. It provides an introduction to deterministic as well as stochastic dynamical systems and contains applications to motor control and coordination, visual perception and illusion, as well as auditory perception in the context of speech and music.
Author: Karim Abdel-Malek
Publisher: Academic Press
Published: 2013-05-30
Total Pages: 296
ISBN-13: 0124046010
DOWNLOAD EBOOKSimulate 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)
Author: Timothy A. Kohler
Publisher: Oxford University Press, USA
Published: 2000
Total Pages: 413
ISBN-13: 0195131681
DOWNLOAD EBOOKWith an emphasis on small-scale societies in an effort to maximize realism in the modeling efforts applied to social evolution, this volume is an important step toward an actor-oriented, cross-disciplinary approach to understanding human behavior over time.".