By P. Morasso, V. Tagliasco
The quantity applies to the research of the motor process the computational method constructed by way of David Marr for the visible procedure. as a result, figuring out stream is seen as a data processing challenge, targeted at the illustration of acceptable computational constructions. particularly, the publication bargains with the illustration of gadgets, concurrent parallel methods, trajectory formation styles and styles of interplay with the surroundings. a couple of modeling ideas are mentioned, starting from computational geometry to man made intelligence, integrating very assorted points of circulate, specifically these which aren't without delay motoric.
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Additional info for Human Movement Understanding: From Computational Geometry to Artificial Intelligence
6-left shows hand gestures which produce trajectories with a varying degree of "roundness". 8. LoH column: thrw c l d trajm3oriec of diflennt *roundma'. Right column: three lrajectorles ol lnllectlon polnts. Sempling frequency: 50 Hz. Velocity profile (V: callbralion 500 mnVs). o( llmm leH. ,008 llmm right). 8 s [Morasso and Musse Ivatdi 19821. 6 -right shows hand gestures whose trajectories exhibit different types of inflection points. 7 shows the repetition of the same pattern shape, while keeping the same pattern size, and the effect of systematically varying the pattern size, while keeping its structure.
7 shows the repetition of the same pattern shape, while keeping the same pattern size, and the effect of systematically varying the pattern size, while keeping its structure. 8 shows a three-dimensional gesture, in which the plane of the trajectory changes continuously (as indicated by the torsion profile). 9 shows two examples of handwritten patterns. The most important finding is that all the patterns share a global common structure. In particular let us point out the following elements: (a) The curvature peaks are strongly correlated with the segmentation of the velocity profiles.
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.
Human Movement Understanding: From Computational Geometry to Artificial Intelligence by P. Morasso, V. Tagliasco