A smartphone sensor, similar to the one used in GPS systems, could be a way of determining whether or not someone is drunk after using marijuana, suggests a new study.
The study, which assessed the feasibility of using smartphone sensor data to identify cannabis poisoning in the natural environment, had a combination of time characteristics (tracking the time of day and day of the week) and smartphone sensor data at a 90 percent rate. of accuracy.
“With the sensors in a person’s phone, we may be able to tell when a person is getting cannabis poisoning and conduct brief intervention when and where it could have the greatest impact on reducing cannabis damage,” said Rutgers researcher Tammy Chung University.
For the study, which was published in the journal Drug and Alcohol Dependence, researchers analyzed daily data from young adults who reported cannabis use at least twice a week. They examined phone surveys, self-initiated reports of cannabis use, and continuous phone sensor data to determine the importance of the time of day and day of the week in detecting use, and identified which phone sensors are most useful for detecting self-reported cannabis poisoning.
They found that the time of day and day of the week had 60 percent accuracy in detecting cannabis poisoning self-reports, and the combination of time characteristics and smartphone sensor data had 90 percent accuracy in detecting cannabis poisoning.
Cannabis poisoning has been linked to slower reaction time, which affects performance at work or school, or adversely affects driving behavior, resulting in injury or death.
Existing detection measures, such as blood, urine or saliva tests, have limits as indicators of cannabis intoxication and cannabis-related impairments in daily life.
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