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Human movement understanding : from computational geometry to artificial intelligence /

Autres auteurs : Morasso, P. -- (Pietro) | Tagliasco, V. -- (Vincenzo)
Collection : Advances in psychology ; . 33 Détails physiques : 1 online resource (x, 382 pages) : illustrations. ISBN :9780080866871 (electronic bk.); 0080866875 (electronic bk.).
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Exemplaires : http://www.sciencedirect.com/science/book/9780444700322

Includes bibliographical references (p. 357-375) and index.

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.

Description based on print version record.

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

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Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

http://purl.oclc.org/DLF/benchrepro0212

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