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Your phone can now tell you how drunk you are
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According to the World Health Organization, an estimated 3 million deaths worldwide are caused by alcohol abuse each year. This amounts to 5.3 percent of all fatalities.
Now, researchers at Stanford Medicine and the University of Toronto have created a process to allow sensors in smartphones and smart speakers to determine how drunk a user may be, a technology that may stop the intoxicated from driving while under the influence.
An accuracy rate of 98 percent
The scientists undertook experiments that found that alterations in the subjects' vocal patterns could be used by the devices to accurately predict alcohol intoxication 98 percent of the time.
This is according to a study conducted with 18 participants aged 21 and higher. In addition to being given a weight-based alcohol dosage, participants were randomly asked to perform a series of tongue twisters: one before they drank, and another one every hour after consuming the alcohol for up to seven hours.
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After reading the tongue twister aloud, the participants were instructed to record their voices on a smartphone that was set up on a table located within one to two feet of them. Their breath alcohol content was also documented by the researchers at the start of the experiment and then every 30 minutes following the first drink for a maximum of seven hours.
“The accuracy of our model genuinely took me by surprise,” said lead researcher Brian Suffoletto, M.D., associate professor of emergency medicine at Stanford.
“While we aren’t pioneers in highlighting the changes in speech characteristics during alcohol intoxication, I firmly believe our superior accuracy stems from our application of cutting-edge advancements in signal processing, acoustic analysis, and machine learning.”
Just in time interventions
According to Suffoletto, the purpose of this kind of study is to provide "just-in-time interventions" to stop injuries and fatalities brought on by car or other accidents related to alcohol intoxication. He explained that the ideal intervention tool for such incidents would be simple to use and easily accessible.
Given the widespread usage of smartphones and smart speakers, these devices are a great option for warning individuals when they are getting too drunk and should not drive or may even require hospitalization.
“Imagine if we had a tool capable of passively sampling data from an individual as they went about their daily routines and surveil for changes that could indicate a drinking episode to know when they need help,” said Suffoletto.
However, the experiment is very much in its early stages. Suffoletto asserted that in order to validate vocal patterns as a reliable sign of intoxication, much more research with individuals from a diverse range of ethnic origins is required. He suggested that in the future his team would seek the assistance of businesses that are currently gathering speech samples via smart speakers.
The researchers’ ultimate objective is to create an intervention system that can assist in saving lives and preventing injuries by making it so inconspicuous that people are actually willing to employ it.
The study is published in the Journal of Studies on Alcohol and Drugs.
Study abstract:
Devices such as mobile phones and smart speakers could be useful to remotely identify voice alterations associated with alcohol intoxication that could be used to deliver just-in-time interventions, but data to support such approaches for the English language are lacking. In this controlled laboratory study, we compare how well English spectrographic voice features identify alcohol intoxication.
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