For anyone who thinks this is a joke, it is not. Legs are complicated and compensating for pain throws everything into disarray, potentially causing new pains. But if you keep using the same spot, an insert for example, you’ll just have 2 gaits and still be tracked.
How accurate and scientifically well regarded is gait detection, surely unless you have a non-standard gait most people of the same rough dimensions will have a similar gait.
Well, a combination of gait detection and facial recognition lets China (at least claim) they can find anyone in the country in ten minutes and back track through their day.
Why, you may ask, do they still have unsolved crimes? SHUT UP SHUT UP YOU GO TO JAIL!
I ask because there are some 'scientific' identification processes that are fuckin' bogus as hell and yet people put a lot of stock in them. Bite mark identification for one.
Bite mark identification is not admissible as evidence in court. It is also not considered a legitimate practice in forensics. Criminology itself does not even come into the equation as it is not relevant to the field.
True, but in terms of legal evidence in a court settings; polygraphs have been considered not sufficient for some time now. In those law enforcement settings its more about intimidation and manipulation and used for interviews not interrogations.
Which may be true in the future for gait detection, as well. Even facial recognition is far from 100% reliable, accurate, and unbeatable identification. But hey, as long as it can be used as convincing enough evidence before a jury to pin charges on someone in the present, then what's the harm, right?
Are they really? I just kind of assumed that they stopped using them a couple decades ago. Then again I've never been interrogated. That's what I still see the occasional store using the fake money detector pen, when if you shove a piece of tape or some sort of sealant on any piece of paper the pen will detect it as legitimate money based on that criteria.
Are they really? I just kind of assumed that they stopped using them a couple decades ago.
They absolutely did not just go away. They're very common in security clearance checks still. Top Secret often requires a poly. And even though they're generally not admissible as evidence in court, law enforcement still uses them as an intimidation tactic in interviews, especially if they're talking to the media and want to paint someone in a bad light.
Bite mark identification is a pseudo science used to match someone's dental records to a bite they may or may not have left on their victim.
Thing is a bite will swell up and ooze and have a bunch of different responses VERY quickly which would distort the mark left behind in addition to any bad angles, movement and other factors that happen in a heated situation.
A good example was the Amazon Fresh store that claim they can recognize the customers and you can just walk in and out of the store without going through the counter to pay. The AI will recognize who you are and what you took and auto charge you.
TURNS OUT they hired a bunch of people in india to manually review the cameras to see who bought the items and what the items were 😭
There are easy explanations for this… it’s entirely possible it does work, but is computationally expensive… so they only do it when it’s to track someone the government actually cares about.
Steal someone’s iPhone? Who cares.
Hold up a sign that says “Xi looks like Winnie the Pooh”, and now it easily justifies the cost of running their gait detection AI.
They also don't care that much about false positives.
If someone A holds up a sign that says Xi sucks and gait detection identifies someone else B as the sign holder then everyone who matter (neither A nor B matter) is happy with B being shredded.
I work in cybersecurity, gait detection is no more expensive then facial recognition. It's essentially the same thing. Its also similar in FRR to facial recognition, its used by many companies that require clearances. The benefits to using gait detection are that you can use very low quality resolution to recognize someones gait and from a MUCH farther distance.
Also, gait detection won't be the smoking gun, but it can be used to corroborate with all the other recorded data they have on you. Like with cellphone surveillance to confirm you were in the area. Enough evidence to justify getting even more evidence on you.
I feel like people probably change their gait depending on too many things.. what shoes they're wearing, what pants they're wearing, how much stuff they're carrying, whether they're in a hurry, and obviously you can actively try to walk weird in plenty of ways
nah idk about that. I never thought gait was recgonizable, until one day while walking through a supermarket I thought hey that person in the next aisle walks like my girlfriend. I went to check and it was indeed her. She doesn't even have a distinct gait, but my brain just recgonized it on that particular day. I don't even notice it usually.
I used to be able to tell who was approaching my desk at work from behind me just by the sound of their walk. Only 50 or so people, still I found it interesting.
Ive got terrible near-sightedness (I get by fine enough without glasses so I've been too lazy to get some - it's been several years) and I can usually recognise people by gait far further out than I can see their faces. It's not something you think about, but it definitely is recognisable.
I'm not saying computers can definitely do it, but I absolutely would not be surprised if they could
plus for me personally, if i’m wearing pants that are pretty wide-legged at the bottom, i tend to change my gait. i walk with my legs slightly more apart to avoid the distracting swooshing sound of the fabric.
maybe it’s obsessive but this thread got me thinking that might change things up a bit for a detection software.
The results show that the method proposed in [48] currently provides the best recognition results on CASIA-B (average performance result of 90.4%) and OU-ISIR (performance result of 99.9%). Concerning the OU-MVLP dataset, results show the superiority of the method proposed in [46] (performance result of 89.18%) over other methods.
Despite the strong performance of deep learning solutions in computer vision, such solutions have been surprisingly vulnerable to adversarial attacks [178], [179]. These attacks introduce perturbations in visual content that can manipulate the predictions of deep models by resulting in embeddings capable of fooling the classifiers [180].
CASIA-B and OU-ISIR are the datasets used to test the models.
It’s just like any other human characteristic. It’s not measuring “roughly the length of your gait,” it’s pattern matching micro-variations in your gait that are entirely unique to how you as an individual walk. No two people move their body identically when they walk; the length of your limbs and torso, the way your joints and ligaments interact and stretch, the pace you walk, rhythmic movements you produce and aren’t even aware of, these are all unique based on your individual characteristics and affect your walking “signature.”
Even if it is well researched (and it seems like it might be?), that doesn't mean courts have to use it accurately or scientifically to treat it as evidence :^)
Wait a minute. I was told that if I walked without rhythm I wouldn't attract the worm, now I have to do the worm? I think that the AI has won at this point.
It depends, it's wrong sometimes, sometimes it's right. How often errors occur depend on the methodology used to assess the technology. Something tells me it's not "incredibly" relieble.
But you can filter out 99% of them based on likely location / last use of credit card location / chain of movement from other sources like traffic cams and bus stop cams.
No, but when used as one of many identification points it is very useful. When a computer is doing the comparisons it doesn't need to be hugely different to be identifiable.
This is actually so true. I remember being able to tell who I was seeing in the military under night vision based off of how they were walking. Every person in my platoon had an incredibly unique gait and they were instantly identifiable.
Yup, as a security guard, I've always been quite good at recognising gaits and with low resolution or long range captures, gait is much easier to pick up on CCTV than a face as long as it has enough IPS. I often recognise people on the exclusion list from a good distance or from behind purely by gait.
Try our new line of anti-ai shoes! With oversized and unstable gel pockets in the soles, AI won't be able to detect your gait as you struggle to walk along during your journey.
Plus in reality, when outside or in colder weather, the actor is actually holding their breath otherwise you'll see it. In every sci-fi shot using these lenses really up close, they're always controlling their breathing OR the lens is digitally inserted like in modern day astronaut suits. There are shots that they have it, and many where they don't. It's a pain in the ass.
It's why it's easier to CG the helmet coming off than actually leaving it and the lens on all the time or dealing with glass lenses.
And it assumes even near future AIs will go - “oh this is a person shaped individual that is moving, with a raised hoodie and no god damned face - probably fiiine, no need to track this as mega suspicious and dedicate 10 more cameras to them right now”
They’ve started amassing all of our biometric data and can develop a unique profile from them (ie HR variability, gait, etc). We agree to this in the terms and conditions when we wear Apple Watches and such
Easiest thing to change in the world though lol especially if you k ow there's cameras in a place. Just frigging slump your shoulders, walk with a limp, purposefully change your stride lol
Actually lowkey genuinely asking if anyone is scrolling and happens to know, are the people who are designing this technology taking wheelchairs into account? Like are they finding ways to identify me just by tiny differences in how I push my wheelchair vs how other people push theirs or is being in this thing finally about to pay off when we reach peak cyberpunk hellscape?
The issue with that is you generally need good clear video for the system to compare it with, and the equipment and expertise isn't cheap. It also is rarely used by itself, since most video artifacting inhibits clear comparable results. It's mostly used in conjunction with other recognition systems, where each one gives an almost positive result on it's own, but a definitive positive in tandem.
Put a pebble in one shoe or adopt a silly walk while in public. What are they going to do, pass a law that you have to use your natural walk? Good luck enforcing that!
That's why you've always gotta keep a pebble in your shoe, and swap out where exactly it sits from time to time.
Plus puffy jackets to make you hard to identify based on your body configuration.
Chinese citizens have already found a workaround for gait detection. They put a small rock in one of their shoes to make them just uncomfortable enough to completely alter their gait.
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u/Simple_Project4605 5d ago
Don’t worry, gait detection will get you way before your face even resolves on the cameras.