Sentence examples for coordinates of fixations from inspiring English sources

These linear transformations both move the coordinates of fixations vertically and horizontally to reduce error, as well as stretch or contract the fixation space.

The algorithm conducts a linear transformation of the coordinates of fixations that minimizes the distance between each fixation and its closest stimulus.

Instead, the coordinates of all fixations are corrected by means of matrix-vector multiplications.

As can be seen, the coordinates of the fixations did not match perfectly with the centers of their corresponding stimuli.

In this case, the eye-movement data cannot be corrected by just moving the coordinates of the fixations.

For this reason, in real experiments the algorithm is unlikely to return the exact coordinates of the fixations.

In ideal conditions, if the eye-movement data reflected perfectly the coordinates of the fixations, then C should be equal to F and, therefore, T should be the identity matrix.

We achieved this by adding a random deviation to the x and y coordinates of the fixations from a normal distribution, N 0, εxy), where εxy is a free parameter described below.

This is due to the fact that the algorithm adjusts the coordinates of the fixation by dragging the recorded fixation position towards the closest stimulus on the screen, which is often away from the true position of the fixation.

The two problems represented in Fig.  1 can be solved by conducting a linear transformation of the vectors coding the coordinates of each fixation.

Instead a random value from a N 0, εxy) distribution is added to the x and the y coordinates of each fixation.