Sensors on smartphones can detect the functioning of the human
nervous system with uncanny accuracy, according to a new study
from Rutgers University. Researchers at the School's Institute for
Health, Health Care Policy and Aging Research have created an
algorithm that combines sensors with GPS and time of day and
day of the week data. The algorithm has 90% reliability in
determining whether a person is high, has drunk, and so on.
According to the report, the algorithm could help law enforcement
and medical professionals more accurately predict whether a person
is currently experiencing "cannabis intoxication."
The most important functions of the phone when detecting
cannabis intoxication were the movement patterns recorded by
GPS systems. Subjects who participated in the experiment reported
that after smoking, they experienced an unusual surge of energy,
which was immediately read by an accelerometer hidden in the phone.
The accelerometer measures various movements, such as tilt or
wobble, and changes the orientation of your phone's display from
portrait to landscape. According to the software developer Credencys,
their software product can detect a sudden change in acceleration, for
example, if the phone is dropped and the memory is turned off while
in flight to prevent data corruption. In addition, such tests can give
positive results for up to three days after the subject last used
marijuana, after which any tests are no longer valid! Fortunately,
the phone records everything, in particular, the slowdown in the
response time of a drunk or stoned client. At any time, the data for
any year can be raised for carrying out one or another examination.
