4 ms·
FWIW, it's actually possible to determine driver vs passenger side of the car based off accelerometer data (even in pocket). I actually prototyped an app that u
by prh8 7y ago
FWIW, it's actually possible to determine driver vs passenger side of the car based off accelerometer data (even in pocket). I actually prototyped an app that used accelerometer data to detect phone usage while driving, and that came up during my investigative research. Sadly, my company never followed through on plans to file patents and develop it (this was back in 2012).
The data and interpretations are pretty cool though. We came up with signatures for texting, talking (both phone to ear and holding in hand for speaker), and a few other common activities.
Not saying they are doing anything like this, just that it is possible.
- cubix 7y agoThat you could detect that in pocket is kind of mind blowing. I guess minor differences in movement related to operating the vehicle versus sitting passively produces an identifiable signature?
- prh8 7y agoThe difference is actually from movement of getting into the vehicle. I don't remember the details of that specific research but I did find it really cool at the time. IIRC, there was also (separate) research that could determine front seat/back seat, based off movement generated from the car turning.
- tinix 7y agoConsider the arc of a typical turning radius from vehicles of varying widths. There would be slight variances in 3d space between a sensor on the left and right sides, obviously, depending upon the direction of the turn. It will be sharper on the sensor if it's on the side of the direction of the turn. Inferring the direction of a turn in an accelerometer is trivial, and inferring the side of the vehicle, and distance from the wheels (front vs back seat) should also be possible. Again, throw a sensor into a vehicle once, and it's hard to tell, but lots of times, you'll get enough data to easily tell. More so, especially if you know the type of vehicle someone owns. Without knowing the type of vehicle, you would need data from both sides to differentiate between passenger and driver. But it should be trivial to detect the gradient (slope) of the sensor curve while the vehicle is turning either direction to determine whether a passenger is on the left or the right side. Doubly so with more than two dimensions of measurements available (vehicles normally sway a bit on one side or the other while turning one direction or the other). Simple physics that every suspension will follow... Your body will also sway a bit in three dimensions differently if the phone is on your person. Using these principles, you could also determine whether someone was siting in the front or the back, too. Knowing the type of vehicle, or given enough variance in measurements (more data points is better), it should be possible to infer the position of the sensor due to the gradient of the arc in the turning radius. Just spit-balling here... lol
- Aromasin 7y agoGuess all this data gets shafted if you live in the UK but drive a left-hand side vehicle though!
- tinix 7y agoNah,should be trivial to determine your location from cell network and infer which side the driver is on if they know what kind of vehicle you have insured. ;) Obviously, it's inference though, it's not 100% accurate, and it doesn't have to be.
- asdff 7y agoI don't think their is such thing as a typical turning radius. On a left turn some people go wide and clip the turning lane of the perpendicular street, others go very sharp and turn at the last minute to the point of overshooting the left slightly. Sometimes it changes if there's another car in that perpendicular turning lane, or if there is traffic and you have to gun it on green to get through, or if the box is blocked, or if there's a box in the road you have to dodge, or a rideshare blocking half the lane dealing with a passenger, etc. etc.
- robocat 7y agoI often put my phone on the passenger side when it is charging. And someone mentioned women's handbags on passenger side. Although presumably that is correlated with not using phone at same time!
- prh8 7y agoYes, there were clear signatures for phone in pocket / in purse / other non-usage actions.
- gbrown 7y ago"signatures", but how good were they? I'd not be surprised if you could do much better than random guesswork, but I'd need to see a lot more data to accept that this is good enough to be scaled up population-wide.