I thought I’d take a look at the RSS (Royal Statistical Society ) “Statistical Analytics Challenge” after being sent it at work today. It involves analysing eye movement on 60 pictures.

Whilst I’m not going to enter the competition I am going to have a go and see how far I get. My plan goes something like this:

- Read the image into R
- Split it into a grid
- Initially a large grid and then progressively smaller ones

- Calculate some properties of each of the grid cells
- Check how each of these properties correlate with where the eye movement points are
- Check the properties of the surrounding grid cells relative the current cell
- See how these new properties interact with the eye movements.
- Do each of the above for a number of pictures to come up with a model and then test this on one of the other pictures.

To do this I’ll need to learn some new skills in R

- Image manipulation
- Importing images
- Finding the various properties of the images
- Splitting an image into bits using a grid

- Finding correlations
- Making a model

The last two are pretty ambiguous but I don’t know a lot about R so I don’t really know what I’m planning.

From using this post on r-bloggers I’ve learnt how to import an image into R and create a data frame which splits the picture into pixels and gives the x and y coordinate for each point and a 3 columns for the rgb (red, green, blue) properties.