Human movement understanding : from computational geometry to artificial intelligence /

The volume applies to the study of the motor system the computational approach developed by David Marr for the visual system. Accordingly, understanding movement is viewed as an information processing problem, centred on the representation of appropriate computational structures. In particular, the...

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Bibliographic Details
Corporate Authors: Elsevier Science & Technology.
Group Author: Morasso, P. (Pietro) (Editor); Tagliasco, V. (Vincenzo) (Editor)
Published: North-Holland,
Publisher Address: Amsterdam ; New York :
Publication Dates: 1986.
Literature type: eBook
Language: English
Series: Advances in psychology ; 33
Subjects:
Online Access: http://www.sciencedirect.com/science/bookseries/01664115/33
Summary: The volume applies to the study of the motor system the computational approach developed by David Marr for the visual system. Accordingly, understanding movement is viewed as an information processing problem, centred on the representation of appropriate computational structures. In particular, the book deals with the representation of objects, concurrent parallel processes, trajectory formation patterns and patterns of interaction with the environment. A number of modeling techniques are discussed, ranging from computational geometry to artificial intelligence, integrating very different aspects of movement, especially those which are not directly motoric.
Carrier Form: 1 online resource (x, 382 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 357-375) and index.
ISBN: 9780080866871
0080866875
Index Number: QP303
CLC: Q66
Contents: Front Cover; Human Movement Understanding: From Computational Geometry to Artificial Intelligence; Copyright Page; Acknowledgements; Preface; List of Contributors; Contents; Prolegomena; Part I: ACTION; Chapter 1. Trajectory Information; Chapter 2. Complex Motor Patterns: Walking; Chapter 3. Dance and Movement Notation; Chapter 4. NEM: A Language for the Representation of Motor Knowledge; PART II: ENVIRONMENT; Chapter 1. Compliance; Chapter 2. Cognitive Modeling of Purposive Actions; PART III: SHAPE; Chapter 1. Analysis and Synthesis of Smooth Shapes; Chapter 2. Shape and Movement.