You don’t even need sensors, you can tell from the websites/apps people use and especially from their typing behaviour. I can do 50WPM on my phone when sober, but less than half that when I’m not.
That i could see but not everyone who is stoned is typing on their phone all the time. Article makes it sound like it can do this automatically unobstructivly.
Seems far easier to detect the sound of a lighter, crunchers hitting eachother and detecting sentence like “i am going outside to smoke my joint” combined with daily/weekly patterns in time.
Thanks to this i did find a great nerdy app to play around with my phones electromagnetic field sensor though.
You don’t even need sensors, you can tell from the websites/apps people use and especially from their typing behaviour. I can do 50WPM on my phone when sober, but less than half that when I’m not.
how does it distinguish from sleepy, distracted, careful thinking on an important message etc?
We don’t know exactly. That’s why it’s called machine learning.
But we do know that it doesn’t do it well, 67% accuracy can be achieved by guessing if you try often enough.
That i could see but not everyone who is stoned is typing on their phone all the time. Article makes it sound like it can do this automatically unobstructivly.
Seems far easier to detect the sound of a lighter, crunchers hitting eachother and detecting sentence like “i am going outside to smoke my joint” combined with daily/weekly patterns in time.
Thanks to this i did find a great nerdy app to play around with my phones electromagnetic field sensor though.
it makes no difference to my typing abilities