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“pilot g-force” is nothing compared to a crash. Pilots get up 9G sustained because that’s when people start passing out. A 30mph car crash into a solid obstacl

by Swizec 3y ago

“pilot g-force” is nothing compared to a crash. Pilots get up 9G sustained because that’s when people start passing out. A 30mph car crash into a solid obstacle spikes at 30G https://www.jrlawfirm.com/blog/auto-accidents/car-accident-g-force/ 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-verstappens-51g-to-ralf-schumachers-78g-biggest-ever-f1-crashes-in-terms-of-g-force/ 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.

jstanley 3y ago
It's worth noting that a phone bouncing around in a pocket can experience substantially more acceleration than the person carrying it.
- ImPostingOnHN 3y ago
  how much more? 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
- yifanl 3y ago
  Should this not have been accounted for when designing the feature?
  - jstanley 3y ago
    Yes, but it explains why the problem is not as easy as the g-force comparison makes it sound.
- Swizec 3y ago
  I had one of these alerts go off once from my watch. After a really hard fall from tripping during a trail run. I still have the scars. 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.
appletrotter 3y ago
4.5g exceeds the threshold for a mild accident. A person, especially depending on any pre-existing conditions, can be injured with this much force. https://www.researchgate.net/figure/Thresholds-g-forces-for-Accident-Detection_tbl1_271155472 https://www.researchgate.net/figure/Thresholds-g-forces-for-... I believe 4.5gs would be like a 9-10mph crash.
- 0xffff2 3y ago
  What percentage of 9-10mph crashes do you think result in any emergency services being called? I would hazard a guess that it's less than 50% including a non-emergency call to police and less than 10% for EMS. It absolutely does not warrant an automatic call to 911.

by Swizec 3y ago

jstanley 3y ago

It's worth noting that a phone bouncing around in a pocket can experience substantially more acceleration than the person carrying it.

ImPostingOnHN 3y ago
how much more? 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
yifanl 3y ago
Should this not have been accounted for when designing the feature?
- jstanley 3y ago
  Yes, but it explains why the problem is not as easy as the g-force comparison makes it sound.
Swizec 3y ago
I had one of these alerts go off once from my watch. After a really hard fall from tripping during a trail run. I still have the scars. 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.

appletrotter 3y ago

4.5g exceeds the threshold for a mild accident. A person, especially depending on any pre-existing conditions, can be injured with this much force. https://www.researchgate.net/figure/Thresholds-g-forces-for-Accident-Detection_tbl1_271155472 https://www.researchgate.net/figure/Thresholds-g-forces-for-... I believe 4.5gs would be like a 9-10mph crash.

0xffff2 3y ago
What percentage of 9-10mph crashes do you think result in any emergency services being called? I would hazard a guess that it's less than 50% including a non-emergency call to police and less than 10% for EMS. It absolutely does not warrant an automatic call to 911.