# Auto-start data analysis

The Auto-start data analysis option in the Acquisition Settings window allows you to automatically start batch calculations immediately after data acquisition has ended, without the need to give any additional command.

example You have a large set of video files, and you plan to start the batch data acquisition before leaving the lab in the evening. By selecting Auto-start data analysis, you make sure that analysis starts immediately after the end of the last trial, so that the results are ready the next morning.

To enable auto-start data analysis

1.Define your series of trials in the Trial List.

2.In the Acquisition module, before starting acquisition, in the Acquisition Settings window, under Options, select Auto-start data analysis.

3.Select one of the two options:

▪Active profiles only. To calculate the statistics using only the combination of the Track smoothing profile, Data profile and Analysis profile currently active (highlighted in blue in the Experiment Explorer).

▪All profile combinations. To calculate the statistics using all combinations of the Track smoothing profiles, Data profiles and Analysis profiles in your experiment.

4.Carry out data acquisition as usual.

Notes

▪If you choose the second option, to minimize processing time and disk space occupied by results, make sure that the Track smoothing, Data and Analysis profiles in your experiment are those you want to use for analysis. Remove any duplicate or non-interesting profiles.

▪If you want to analyze data using certain profile combinations, not others, do not select Auto-start data analysis. Instead, do batch analysis after acquisition; there you can choose those profiles combinations.

▪The analysis does not start automatically when you stop tracking manually.

▪If you move to another window and then return to the Data acquisition screen, you have to set the Auto-start data analysis option again.

▪The Auto-start data analysis option is not available when you select Save video only, track later as acquisition method.

▪Once analysis is started, a window with a progress bar opens. You can see that there are a few stages:

▪Step 1 - Data Preparation (for when tracking two subjects with Deep learning). For details see Prepare the data in multi-subject trials

▪Step 2 - Track Smoothing, for adjusting the tracks based on a Track smoothing profile.

▪Step 3 - Data Selection, for choosing tracks, and track segments based on a Data profile.

▪Step 4 - Analysis, for calculating the values of the dependent variables specified in an Analysis profile.