Fig 3

Fig 3

(a) Overview of the analysis pipeline. (b) A time series of the tail angle θ shows the discrete nature of locomotor episodes (‘bouts’) with the corresponding speed, change in heading and the summed tail angle calculated as the summed absolute amplitude of the tail angle. (c) Samples of the seven bout types identified using a Gaussian Mixture Model. In the superimposed images corresponding to a given bout type, the green and red dots correspond to the head position at the bout beginning and end respectively. Below each sample, the average tail angle θ is shown in solid color with 200 trajectories shown in grey.