Humans can be tracked with unique 'fingerprint' based on how their bodies block Wi-Fi signals
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you might be onto something.
take a mylar square and place it somewhere random on your body every day.
Eat a piece of spinach and increase the iron in your body.
This is all beyond stupid and hysterical.
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Eat a piece of spinach and increase the iron in your body.
This is all beyond stupid and hysterical.
instructions unclear, I have glued spinach to my skin and the rabbits won't stop chasing me.
need further instruction.
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instructions unclear, I have glued spinach to my skin and the rabbits won't stop chasing me.
need further instruction.
Actually you've gone far enough to baffle the system.
I would say have fun frolicking with the rabbits?
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Could be developed into a useful tool for search and rescue
You are correct because something similar has already been used
Microwaves are the same as wifi waves, these are able to detect bodies and whether the bodies are beating or not
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Probably not.
This kind of thing relies on the fact that the emitter and environments are static, impacting the propagation of the signals in a predictable way and that each person, having a unique physique, consistently interferes with that propagation in the same way. It's a tool that reports "the interference in this room looks like the same interference observed in these past cases."
Search and rescue is a very dynamic environment, with no opportunity to establish a local baseline, and with a high likelihood that the physiological signal you are looking for has been altered (such as by broken or severed limbs).
There are some other WiFi sniffing technologies that might be more useful for S&R such as movement detection, but I'm not sure if that will work as well when the broadcaster is outside the environment (as the more rubble between the emitter and the target the weaker your signal from reflections against the rubble).
Don't think of this as being able to see through walls like with a futuristic camera, think of this as AI assisted anomaly detection in signal processing (which is exactly what the researchers are doing).
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The Sapienza computer scientists say Wi-Fi signals offer superior surveillance potential compared to cameras because they're not affected by light conditions, can penetrate walls and other obstacles, and they're more privacy-preserving than visual images.
[…] The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture.
Reminds me of the Christian Bale batman movie where he could spy on everywhere from the bat cave. Seemed so far fetched it almost ruined the movie
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Your poo time has expired and your pay is docked. Flushing will cost 50 dollars for the next week. Get back to work
Strange. Shitting on your bosses desk is still free. Hmm. Interesting loophole.
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Reminds me of the Christian Bale batman movie where he could spy on everywhere from the bat cave. Seemed so far fetched it almost ruined the movie
No-one suspected Bruce Wayne's "free WiFi for Gotham City" initiative
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There is no end user need or product for being able to identify individuals based on their interactions with WiFi signals
Cat tracker
Put an airtag on the collar. Done.
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Reminds me of the Christian Bale batman movie where he could spy on everywhere from the bat cave. Seemed so far fetched it almost ruined the movie
It was very much not even far fetched at that point. 1984 wrote about the same kind of surveillance, and at that time it would have been pretty far fetched. It was published in 1949; the video camera was only 24 years old at that point.
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The Sapienza computer scientists say Wi-Fi signals offer superior surveillance potential compared to cameras because they're not affected by light conditions, can penetrate walls and other obstacles, and they're more privacy-preserving than visual images.
[…] The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture.
Can I become obese in a day to avoid being fingerprinted?
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Microwave based ground penetrating radar is actually different from WiFi. Also the technology referenced in the link is a motion based body locator, not an identity recognition device.
This is different technology doing different things than what the original article was talking about.
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Can I become obese in a day to avoid being fingerprinted?
I did that over 40 years.
Doesn’t help. -
You are correct because something similar has already been used
Microwaves are the same as wifi waves, these are able to detect bodies and whether the bodies are beating or not
WiFi uses a subset of the significantly wider microwave band. Ground Penetrating Radar also uses a subset of the microwave band. While there can be some overlap, the frequencies desired for GPR will very broadly based on what you are looking for, what you are looking in, and how deep you are looking for that thing. The wattage supplied can also differ.
WiFi and Microwaves in general are most definitely not the same thing and I will absolutely encourage you to not set up a 1kW 3GHz jamming antenna for your WiFi needs.
Could you use WiFi for search and rescue? Maybe for a narrow set of circumstances, but in almost all situations a dedicated GPR option will be better.
This also won't identify a victim, only revealing that one exists.
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The Sapienza computer scientists say Wi-Fi signals offer superior surveillance potential compared to cameras because they're not affected by light conditions, can penetrate walls and other obstacles, and they're more privacy-preserving than visual images.
[…] The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture.
Well of course the Sapienza scientists would figure this out, Agent 47 keeps killing everyone in the labs
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Yeah, like, why learn how to split the atom if all we can do is splode stuff. It's not like we can cure cancer or power things without emitting planet killing gasses or anything.
But, but, splosion make line go up. Splosion good...?
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The Sapienza computer scientists say Wi-Fi signals offer superior surveillance potential compared to cameras because they're not affected by light conditions, can penetrate walls and other obstacles, and they're more privacy-preserving than visual images.
[…] The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture.
Time to start making faraday clothes.
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Time to start making faraday clothes.
With wild and crazy shape lines. Ultra futuristic fashion here we come!
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The Sapienza computer scientists say Wi-Fi signals offer superior surveillance potential compared to cameras because they're not affected by light conditions, can penetrate walls and other obstacles, and they're more privacy-preserving than visual images.
[…] The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture.
Time to carry a WiFi jammer
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95.5% accuracy is abysmal for any use case these people want to use it for
It's not at all bad for an initial proof of concept.
