The model used in the study, carried out by a professor at Stanford University in the US, was able to predict a person's level of intoxication with 98% accuracy.
Smartphones may be able to detect how drunk a person is based on changes in their voice, according to a new study. Researchers used sensors in smartphones to record a person's voice before and after drinking. They then put the recordings through a digital program to isolate and measure certain aspects, like frequency and pitch. When checked against breath alcohol results, they found that the model they developed was able to predict a person's level of intoxication with 98% accuracy.
Professor Suffoletto said larger studies were needed to confirm the validity of the findings, which have been published in the Journal of Studies on Alcohol and Drugs. How the research worked The study involved 18 adults aged 21 and above, who were randomly given a series of tongue twisters to read out loud. A smartphone was used to record their voices before drinking, and each hour up to seven hours after drinking.
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