Human Movement Understanding
From Computational Geometry to Artificial IntelligenceEdited By
- P. Morasso
- V. Tagliasco
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.
Advances in Psychology
Published: October 1986
- Action. Trajectory Formation (P. Morasso). Complex Motor Patterns: Walking (L. Baratto, P. Morasso, R. Zaccaria). Dance and Movement Notation (A. Camurri et al.). NEM: A Language for the Representation of Motor Knowledge (G. Marino et al.). Environment. Compliance (F.A. Mussa Ivaldi). Cognitive Modeling of Purposive Actions (G. Adorni et al.). Shape. Analysis and Synthesis of Smooth Shapes (S. Gaglio et al.). Shape and Movement (R. Boccardo et al.). Time. Concurrent Parallel Processes (G. Marino, P. Morasso, R. Zaccaria). Describing and Performing Musical Processes (A. Camurri, G. Haus, R. Zaccaria). References. Subject Index.