It doesn't take a lot of searching to find this feature giving a pretty large benefit, though?
That is, be careful not to strawman this such that they can't have any false positives. Do keep on them to make it ever better, of course.
That is, be careful not to strawman this such that they can't have any false positives. Do keep on them to make it ever better, of course.
If dancing can make an iphone call 911, then Apple has not done their job. You cannot achieve g-forces dancing anywhere close to a serious crash. This is pathetic and unacceptable.
You absolutely can, remember, the phone is recording the accelerations of the phone, not the acceleration of your brain or car or anything heavy.
did you just make up that fact?
https://www.bernards.cz/news/irish-dancers-get-pilot-g-force...
A 30mph car crash into a solid obstacle spikes at 30G https://www.jrlawfirm.com/blog/auto-accidents/car-accident-g...
Race car drivers have walked away from g-force as high as 78G https://www.essentiallysports.com/f1-news-from-max-verstappe...
We’re talking an order of magnitude here. Algorithms should be able to tell the difference.
are we sure it's enough to excuse the failed crash detection described in the article (IE do we know the bouncing around generates multiple tens of Gs like an accident)?
without such a confirmation, the error is still inexcused
with it, the error seems like the feature is just poorly implemented or perhaps even poorly thought out
The alert said: “You had a hard fall and stopped moving. Press this button or we call help”
The “stopped moving” part seems like the perfect proxy here. People in a car crash experience a huge spike in G-force once. Then it stops. Or maybe it goes for a few seconds if you’re rolling down the highway.
Car crashes don’t go on for minutes upon minutes. This seems like something a machine learning algorithm could handle. At the cost of calling 911 3min after a crash instead of 3sec. That’s still much faster than how long it takes people to call for help.
https://www.researchgate.net/figure/Thresholds-g-forces-for-...
I believe 4.5gs would be like a 9-10mph crash.
There are wildly different G-forces involved.
https://www.researchgate.net/figure/Thresholds-g-forces-for-...
My assumption is that they want to trigger the alarm even for mild accidents.
Note that the Gs experienced by the dancers in my previously shared article approach the threshold for a mild accident. I wonder how they conducted the experiment, and if a phone held in a person's hand while they are dancing might experience even more Gs than the person's body.
edit: I think 4.5gs is equal to a 9-10mph crash.
"A concussion occurs at roughly 90 to 100 g-force, which equates to smashing your skull against a wall at 20 mph" - https://news.umich.edu/football-helmet-sensors-help-research...
These comments are making it quite clear why stuff like this makes it to production.
https://www.researchgate.net/figure/Thresholds-g-forces-for-...
90-100g is a pretty extreme amount of force.
And it isn't impossible to say how many were negatively affected, all told. It is hard in the moment, of course, but you can pull that signal out.
Again, they should work to fix this. But don't ignore the benefits of the feature, as well.
Edit: I also wouldn't be shocked to know that most of the dancing causing false reports were people dropping their phones. That will look a lot like a crash, for obvious reasons.
Edit2: For the "difficulty determining the impact," it is worth noting that they specifically callout that they were not overwhelmed, such that there is no reason to think this caused specific issues.
It leverages the GPS, microphone, barometer, Bluetooth, Carplay status, accelerometer, and gyroscope in a sensor fusion.
The actual setting for the apple watch calls it a "severe crash" and has triggered for people crashing bicycles and things. There's also a separate "fall detection" setting that will call after a hard fall if you're not moving.
I'm fine investigating. And reporting on a lot of this is fine, of course. But this very story says it did not overwhelm them, such that they were getting utilized. Probably net good for training, overall. As it let them practice runbooks that may not get a lot of use.