Researchers collected WiFi signal recordings from nearly 200 participants as they walked through a WiFi field using different walking styles. The data was recorded from four different perspectives using both the BFI method and an older WiFi sensing approach relying on channel state information, or CSI.
“This technology turns every router into a potential means for surveillance,” said co-author Julian Todt in the press release. “If you regularly pass by a café that operates a WiFi network, you could be identified there without noticing it and be recognized later – for example by public authorities or companies.”
The researchers are urging the IEEE, the organization that sets industry standards, to include stronger privacy safeguards in the upcoming 802.11bf standard, which is meant to standardize WiFi sensing applications.
This specific finding is minor, but its implications are not IMHO. From the article it appears the researchers consider this a discovery in effect.
If consumer hardware is already capable (in many settings) of reproducing what were formerly research-level and industry-grade techniques, it may be a transformation in more areas of technology than would be obvious. I am very curious to see if there will be further findings in this area.
The military/LEO is probably already envisioning a Daredevil like helmet with augmented-reality lenses that overlay non-line-of-sight threats in real time.
Didn't we already have a video of that? I don't remember the data sources used to generate the overlay, however. Was it multiple solders' helmets sharing their data, and/or perhaps even a drone from above?
It seems to require a lidar reflective object. Likely more generally, the effectiveness lowers the less objects there are to bounce and return signal.
It could probably work with less accuracy/resolution against visible vehicles in the opposite lane, a hedgerow, postal box, pedestrian carrying a visible laptop and possibly synthesize all of these to improve its guess.
Why not just place a mirror at 45 degrees in the corner? That way you don't need the lidar but you can just look around the corner? It would also work better with the lidar.
Reasonably common in difficult corners in Germany and Austria. Probably elsewhere too.
The downside is that it's road infrastructure that has to be installed. The upside is that it works for everyone, including people in 20 year old cars or on bicycles.
Every car just needs n number of mirrors on articulating joints and to sense any oncoming cars that need to see around a corner and then receive a command to reposition said mirror.
If consumer hardware is already capable (in many settings) of reproducing what were formerly research-level and industry-grade techniques, it may be a transformation in more areas of technology than would be obvious. I am very curious to see if there will be further findings in this area.
It could probably work with less accuracy/resolution against visible vehicles in the opposite lane, a hedgerow, postal box, pedestrian carrying a visible laptop and possibly synthesize all of these to improve its guess.
Or this: https://cdn-01-artemis.media-brady.com/Assets/ImageRoot/DMEU...
Reasonably common in difficult corners in Germany and Austria. Probably elsewhere too.
The downside is that it's road infrastructure that has to be installed. The upside is that it works for everyone, including people in 20 year old cars or on bicycles.
If it weren’t for the struggles of getting municipal infrastructure installed, I’d prefer it.