Smartphone sensors can be used to detect if you are high on marijuana with 90 percent accuracy
Sensors on a person's smartphone can be used to determine if they're high with uncanny precision, according to a new study out of Rutgers University Researchers at the school's Institute for Health, Health Care Policy and Aging Research found that an algorithm that combined sensors tracking movements and GPS location with data on the time of day and day of the week had a 90 percent accuracy rate in determining if someone was stoned. The system combines GPS and movement data from their smartphone with info on the time of day and day of the week The study, published in the journal Drug and Alcohol Dependence, evaluated the feasibility of using smartphone sensor data to identify episodes of 'cannabis intoxication' — being noticeably high— in a non-lab environment. Just based on the time of day and day of week, the algorithm had a 60 percent accuracy rate The most important phone features in detecting cannabis intoxication were travel patterns from GPS when a subject said they felt high and movement data from the device's accelerometer. The algorithm could help 'detect when a person might be experiencing cannabis intoxication and deliver a brief intervention when and where it might have the most impact,' researchers say Currently, 18 states and the District of Columbia have legalized recreational marijuana and another nine approve its use medically.
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