Figure 7.

Classification performance as measured by F1 score. F1 scores measuring test accuracy are broken out by device position, for n = 48 videos from the eat/drink dataset where the dog’s collar had exactly four attached devices with known orientation. Error bars are 95% confidence intervals on the mean, as determined by bootstrapping. The classification accuracy per class was similar between the four positions, indicating that system accuracy is not substantially affected by collar rotation.