By P. Morasso, V. Tagliasco
The amount applies to the learn of the motor process the computational technique built by way of David Marr for the visible approach. for that reason, realizing stream is considered as a knowledge processing challenge, focused at the illustration of applicable computational buildings. particularly, the ebook bargains with the illustration of items, concurrent parallel methods, trajectory formation styles and styles of interplay with the surroundings. a few modeling innovations are mentioned, starting from computational geometry to man made intelligence, integrating very diversified features of stream, particularly these which aren't without delay motoric.
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Additional info for Human Movement Understanding: From Computational Geometry to Artificial Intelligence
Example text
The S- spline representation is "relative" (instead of "absolute") because the trajectory formation process implied by (17) is characterized by ouidng wctws (instead of ~uiding pin&). Specifically, (17) can be interpreted as the vector addition of primitive straight movements ("strokes' in the motor terminology) directed along the guiding vectors: Each stroke is generated - - with a bell -shaped velocity profile (the time derivatives of S splines are bell shaped) and with a time shift among consecutive strokes characterized by the fact that at each time instant three of them are simultaneously active.
Duration ot the display& movement: 8 s. [Morasso 19831. 3. Hand Trajectories Produced While Attemptino to Mimlc Circular Guide Paths. For each mowmen1 the velocity protile SI shown (calibration: 200 mmh) tcgether with the cutvaturn protila (calibration: 1 / 1 9 Ilmm). Movement 1 Is a standard targeted movement. Mmments along the c u m ~ ~ l d e are s characterized by curvature peaks and temporally associated speed vnlbye (mmments 4 and 5) or i n t b tion points ( m m e n t s 2 and 3). Sampllng frequency: 100 Hz.
The arrow - Interval 84 65. 15) P. Morass0 S,(t) = Sumj 811) i = -1,.. 3). Spline functions (and spline curves) can be represented as an expansion In terms of S splines in a similar way to the expansion (14) which uses 8-splines: (la, while The equivalence between (14) and (17) can be proved simply by substituting (15) in remembering (12). The S- spline representation is "relative" (instead of "absolute") because the trajectory formation process implied by (17) is characterized by ouidng wctws (instead of ~uiding pin&).