There was an article recently about obd2 scanners recording information such as throttle application, brake pressure, etc and after recording information for 15 minutes could determine with X% accuracy who was driving and after 60 minutes of data, could fingerprint who was driving with 97 (or maybe it was 100%?) Accuracy.
My roommate in grad school developed a somewhat related idea but for identifying someone's "typing cadence". He used it for an additional security factor in the way that a person types their passwords in a browser.
I read an article about search engines using autocomplete keystroke timing for user fingerprinting, but can't find it at the moment. Wikipedia has a few references, https://en.m.wikipedia.org/wiki/Keystroke_dynamics
There are quite a few solutions out there that use bioinformatics to develop a signature of the user.
Google has one, a few banks use it to identify potential fraud cases appearntly even simple things about how you navigate a webpage can produce a fairly unique fingerprint even across different devices.
Neat stuff, but I think that particular study had a pretty small sample size (~100). It would work from telling mom from mom or junior, but not so well at picking the zip car driver from a pool of all zip car drivers.
Pretty interesting stuff