> capture tiny, vital movements of human breathing, even when people are not in the line-of-sight of a device ... whole home coverage to detect falls, breathing rates, abnormal behaviors ... Internet Service Providers (ISPs), Security, Health & Wellness, Automotive, and IoT
Sign me up for the security system. This seems like a total game changer if it's possible to do real human detection and tracking in a secure location.
> The U.K. Ministry of Defence has funded a study to determine whether it could be used to scan buildings during urban warfare. With improvements, Woodbridge says, the device could become sensitive enough to pick up on subtle motions the ribcage makes during breathing, which would allow the radar to detect people who are standing or sitting still.
I have a weirder utility for it: occupancy sensing in rooms.
If it can detect breathing of humans reliably, then it solves a huge problem in having home automation with automatic lighting - particularly in bathrooms. I've never had a decent bathroom occupancy sensor (they all end up wanting to detect fairly large motions) - the obvious solution is AI with a camera but for obvious reasons no, but if a couple of base stations can localize person positions to rooms in the house (and provide other services) then that kind of solves the whole issue!
I grew up with a father who was obsessed with the idea that we were wasting electricity by accidentally leaving the lights on sometimes. As a result he's spent probably thousands in attempted energy saving devices which have all not worked and definitely would never save enough compared to the cost of them.
Which is why I think about these things despite this seemingly obvious solution.
And the fact that the guest bathroom when I visit his house still has no light switch but does have a cheap motion sensor which is annoying as hell.
There are a number of mmWave occupancy sensors that are more than capable of this. The biggest issue is the delay introduced in most smart home contexts by Zigbee and the hubs. Matter/Thread should help here.
From the abstract:
"This paves the way for low-cost, broadly accessible, and privacy-preserving algorithms for human sensing."
How much do we have to wait for the follow up paper: "Human identification through wifi signals" and then the patent for "Wifi as an identity tracking source for advertisement in public spaces"
> In 2012, her work on Sparse Fourier Transforms was chosen as one of the top 10 breakthroughs of the year by Technology Review ... In 2014, on the celebration of Project Mac's 50th anniversary, her work on X-ray vision was chosen as one of the "50 ways that MIT has transformed computer science."
human-to-human interaction recognition
device-free human activity recognition
occupant activity recognition in smart offices
emotion sensing via wireless channel data
CSI learning for gait biometric sensing
sleep monitoring from afar
human breath status via commodity wifi
device-free crowd sensing
> Wi-Fi is fucked, everything is broken, Donald J. Trump is president, and the earth is dying. Ok, taking a step back, you might be wondering what you can do to protect yourself. The solution is not without flaws; turn your Wi-Fi off when you aren’t connected to a known network. Doing so will prevent your device from leaking your network names and device fingerprint to the open world. The solution is awkward, easy to forget, and sub-par. But its what we’ve got.
This tech will make it into every device with an RF receiver. Your TV, phone, router, computer, tablet, fridge, lightbulb will know your pulse and waste size at all locations in your house.
Moreover, thieves are likely to use custom-built RF occupancy detection devices, while the vast majority of homeowners will buy an off-the-shelf product that will either sell their data to advertisers (a la "smart" televisions), require a subscription service, or both.
When we have near-human level deep learning models for things humans can do, what does this level of performance look like when applied to things we can’t do at all? This is a nice example of this.
Technical defenses are either cat & mouse CSI electronic warfare or shielding the walls+floor+roof+windows of some rooms (e.g. research labs in business, industrial systems, WFH offices, bedrooms) with materials like aluminum radiant barrier, RF window film or expensive drywall (e.g. QuietRock) designed for RF shielding of SCIFs.
Another defense, impractical for most people, is for their house/office to be physically protected by a tall fence that is far enough away from the building to exceed radio range, along with sensors at the fence to detect someone attempting to broadcast into the property. This could be combined with shielding to reduce the necessary fence-building gap.
Regulatory responses: some countries could restrict this technology to high-frequency 60Ghz mmWave which doesn't easily pass through walls. That would at least reduce the social issue of X-ray vision (via 2.4Ghz WiFi) through the exterior walls of existing homes and businesses.
One of the 802.11bf papers proposed an opt-out mechanism where human biometrics could be registered into a giant database and you could ask WiFi devices to unsee some humans. Good luck with that.
Another regulatory response could be to delay approval of Wi-Fi 7 and shipment of Wi-Fi Sensing devices until the WiFi industry pays to upgrade all existing houses with RF shielding, i.e. never. Maybe it would be sufficient to wait until the homes of celebrities and politicians were RF shielded? Let's not forget IP-sensitive and financial business offices with people typing on keyboards. And using combination locks. And...
I wonder how much shielding is actually needed. 2.4 GHz = 12.5 cm wave. A conductive grid with approximately 6cm (or 2") step should prevent the waves from getting inside. Not a very expensive thing to add even to drywall panels. Can also be relatively easily added into fabrics, to make RF-reflective curtains.
Some active device equivalent to a mouse jiggler, retransmitting the signal and shifting the phase just enough to create the illusion of constant movement.
Interesting. Full Body Tracking is one of the few places I can see this getting real end user traction considering how hard it is to do now but a lot of work goes into the pose estimation side and will need to be integrated to the AP. A Modified Microsoft Kinect or Intel Realsense built into their own SoC then it's APIs out to the VR Headset. And at that point it's not just an Access Point anymore.
> capture tiny, vital movements of human breathing, even when people are not in the line-of-sight of a device ... whole home coverage to detect falls, breathing rates, abnormal behaviors ... Internet Service Providers (ISPs), Security, Health & Wellness, Automotive, and IoT
The images in the DensePose paper are helpful: https://twitter.com/aibreakfast/status/1613550599144091650
Prior HN threads on Wi-Fi 7 Sensing: https://news.ycombinator.com/item?id=33758434
Counter-measures: https://news.ycombinator.com/item?id=27121918#27133079