Sentence examples for metric resolution from inspiring English sources

In order to validate the proposed representation model we relied upon two hypotheses: metric resolution and variability.

As a final remark, we verify that metric resolution has a direct impact on the dimensionality of the proposed representation model by proportionally decreasing the compactness of our representation with the increase of the resolution.

The observed results validate the proposition that different dance styles of repetitive gestures might require a minimum and sufficient metric resolution to be fully represented by the proposed representation model.

The validation of our representation model relies upon two hypotheses: (i) the impact of metric resolution and (ii) the impact of variability towards fully and naturally representing a particular dance style of repetitive gestures.

The confirmation of the hypothesis of metric resolution should imply that the quantity or density of metric classes has a positive impact on a full and natural description of the represented dance.

Therefore, at the optimal metric resolution for each dance style, we could only induce 20.33% and 2.34% of the variance observed in the captured dance, respectively for samba and Charleston.

This effect is greater at lower metric resolutions because the interpolation function has less knots (i.e., less key-poses) which increase the variation of the synthesized motion trajectories among metric cycles with different lengths.

In order to test this hypothesis, we varied the metric resolutions (independent variable) of the synthesized dance sequences in four levels: beat, half-beat, quarter-beat, and eighth-beat resolutions.

For specifically assessing the metric hypothesis, we compare the captured dance sequences with repetitive sequences of a fixed dance motion pattern, synthesized at different metric resolutions for both dance styles.

The mean variance ratio between the dance sequences synthesized with variability and the ones without it is in the order of 22.59 ± 12.87%, among all metric resolutions and dance styles.

Note that the small error imposed by our interpolation method, with a mean of 1.54% among all assessed sequences (see Table 2), ensures a good approximation of the synthesized body with the captured, especially at higher metric resolutions.