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 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.
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action activity actor actuators algorithm angle Artificial Intelligence aspects axis B-spline behavior body boundary chapter characterized CMUSIC complex components concept concurrent constraint Constructive Solid Geometry contour coordinates corresponding curvature curve dance dance notation defined displacement displacement vectors dynamic end effector environment example expressed Figure foot force formal frame frequency function geometric global guiding points hand stiffness human movements initial interaction inverse dynamic inverse kinematics joint kinematic chain language limb linear mapping means mechanism medial axis Morasso motion muscles musical Mussa Ivaldi notation object operators output paradigms parameters particular performance Petri Nets planar plane planning point of view position possible posture primitive problem qualitative represented robot rotation saccades segments sequence shape shoulder skeleton skill space specific spline spring-like stiffness matrix structure surface symbols T'ai Chi Ch'uan targeted movements task tion trajectory formation transformation variables vector velocity voxel walking