CHALLENGE: make reading in tracking data faster!

[Alek050]

In the current state of the package, there are two functions that take considerable time to execute:

1. Reading in a tracking data file into the right dataframe format
2. Synchronising the tracking and event data, more specifically, solving the Needleman-Wunch algorithm.

For this issue I would like to challenge you to make the code for reading tracking data (independent of which provider/type) reasonably faster (~30%)!

Lets also start discussions on ideas to make it faster. As for now, the tracab .dat tracking data loader is the fastest, because that one I use the most. But improvements in other providers are also more than welcome!