Smartphones can tell when you’re drunk by analyzing your walk
Ervin Sejdic Coauthors Paper Examining Use of Smartphone Sensors to Detect Alcohol Intoxication
Ervin Sejdic, associate professor at the University of Pittsburgh's Swanson School of Engineering with appointments in the Departments of Electrical and Computer Engineering and Bioengineering, recently coauthored a paper published in the Journal of Studies on Alcohol and Drugs (JSAD) that investigates the use of smartphones to detect alcohol intoxication. The research uses a smartphone's sensors to measure the user's gait as they walk, and they were able to correctly determine when the person's blood alcohol concentration exceeded the legal limit 90 percent of the time.
“Many of us use smartphones as a source of entertainment and an occasional source of information. However, these devices are packed with high-quality sensors, and it is in our best interests to explore these sensors to enhance our daily lives," said Sejdic. "A combination of sophisticated sensors and artificial intelligence tools such as machine learning will provide us great opportunities to develop solutions that otherwise were only accessible in research or clinical settings. Our newest paper is just one example how we can use smartphones for the benefit of general public. With the ongoing pandemic, I’m sure many more novel solutions will pop up that will drastically expand the use of smartphones beyond entertainment apps.”
News release from JSAD republished with permission.
Smartphones can tell when you’re drunk by analyzing your walk
By Paul Candon
PISCATAWAY, NJ – Your smartphone can tell when you’ve had too much to drink by detecting changes in the way you walk, according to a new study published in the Journal of Studies on Alcohol and Drugs.
Having real-time information about alcohol intoxication could be important for helping people reduce alcohol consumption, preventing drinking and driving or alerting a sponsor for someone in treatment, according to lead researcher Brian Suffoletto, M.D., who was with the University of Pittsburgh School of Medicine when the research was conducted and is now with Stanford University School of Medicine’s Department of Emergency Medicine.
“We have powerful sensors we carry around with us wherever we go,” Suffoletto says. “We need to learn how to use them to best serve public health.”
But for Suffoletto, this research is much more than academic. “I lost a close friend to a drinking and driving crash in college,” he says. “And as an emergency physician, I have taken care of scores of adults with injuries related to acute alcohol intoxication. Because of this, I have dedicated the past 10 years to testing digital interventions to prevent deaths and injury related to excessive alcohol consumption.”
For the study, Suffoletto and colleagues recruited 22 adults ages 21 to 43. Volunteers came to a lab and received a mixed drink with enough vodka to produce a breath alcohol concentration of .20 percent. They had one hour to finish the alcohol.
Then hourly for seven hours, participants had their breath alcohol concentration analyzed and performed a walking task. For this task, researchers placed a smartphone on each participant’s lower back, secured with an elastic belt. Participants walked a straight line for 10 steps, turned around, and walked back 10 steps.
The smartphones measured acceleration and mediolateral (side to side), vertical (up and down) and anteroposterior (forward and backward) movements while the participants walked.
About 90 percent of the time, the researchers were able to use changes in gait to identify when participants’ breath alcohol concentration exceeded .08 percent, the legal limit for driving in the United States.
“This controlled lab study shows that our phones can be useful to identify ‘signatures’ of functional impairments related to alcohol,” Suffoletto says.
Although placing the smartphone on the lower back does not reflect how people carry their cell phones in real life, the research group plans to conduct additional research while people carry phones in their hands and in their pockets.
And although it was a small investigation, the researchers write that this is a “proof-of-concept study” that “provides a foundation for future research on using smartphones to remotely detect alcohol-related impairments.”
“In 5 years, I would like to imagine a world in which if people go out with friends and drink at risky levels,” Suffoletto says, “they get an alert at the first sign of impairment and are sent strategies to help them stop drinking and protect them from high-risk events like driving, interpersonal violence and unprotected sexual encounters.”
Going forward, Suffoletto and his colleagues plan to not only build on this research detecting real-world signatures of alcohol-related impairment but also identify the best communication and behavioral strategies to influence and support individuals during high-risk periods such as intoxication.
Suffoletto, B., Dasgupta, P., Uymatiao, R., Huber, J., Flickinger, K., & Sejdic, E., (2020). A preliminary study using smartphone accelerometers to sense gait impairments due to alcohol intoxication.Journal of Studies on Alcohol and Drugs, 81, 505–510. doi:10.15288/jsad.2020.81.505
To arrange an interview with Brian Suffoletto, M.D., please contact Mandy Erickson at +650-245-8491 or firstname.lastname@example.org.
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