The next step was to see how well the different classifiers were capable of classifying the multi task data. This was the data where the subjects had performed multiple tasks at the same time. The subjects were given 2,3 or 4 different tasks that they were allowed to perform at the same time. Multiple labels were attached to this data. I used 2 different ways of training and testing. First I trained on all the single data and tested the algorithms on the multidata.

Basically everything was going very smooth until the symposium on the 8th of May, and after that thing got kind of hang up and progress slowed down. There was still work getting done, only no pressure to get it done. The shirt we had on the 8th of May is still there, only focus shifted to fine tuning the sensors and everything around it. The DPA is finished and so are the reports. Those we handed over yesterday.