4 ms·
Unique Identification of 50k VR Users from Head and Hand Motion Data
- jimmydorry 4y agoReally cool, and really scary at the same time. As a frequent VR user, it would make sense that my movements are unique enough to fingerprint me, but it's not something I've ever thought about.
- oneoff786 4y agoHold up. They did this on beat saber… with a 50000 class output (one per user). They seem to be using mod songs, and are not accounting for the fact that people are playing different songs. Your motion is entirely determined by the song. I think they’re just identifying pairs of song choice and user height. Note that one of their metadata features is “replay > 100”, meaning they probably have examples of the same user doing the same song many many times
- koolala 4y agoSeems like a good way to validate it would be to have everyone play the same set of songs. Then to tell if the predictions work, see if it can find each different song each individual plays. I hope the design wasn't as bad as you say.
- oneoff786 4y agoReading into it more, the second most predictive feature was a context variable. That is, identifying features of the specific song. I think this one gets a thumbs down from me.
- Accujack 4y agoI don't think too many people realize the danger of applications phoning home to the vendor isn't limited to desktop PCs and portable devices, nor is the type of information they can harvest limited to personal information or your web browser history.
- rowanG077 4y agoThis reminds of the study that showed it was possible to fingerprint a person based on acceleration data from their phone when walking.