A Machine Learning Approach for Inferring Alcohol Intoxication Levels From Gait Data (Alcogait)

Inclusion Criteria:

• ages 21-65
• drinking at least 5 drinks per occasion for men (4 for women) during a single drinking episode at least once in the last month to ensure, for safety reasons, that people are accustomed to consuming alcohol in amounts comparable to what we will administer
• willingness to drink beer (since only beer will be provided in the session to standardize drinks more easily).

Exclusion Criteria:

• past 6 months or current treatment for alcohol or drug abuse by self-report (for ethical reasons)
• Score > 5 on (the short version of the Michigan Alcohol Screening Test [SMAST]48) given during the screening interview
• positive family history of alcohol use disorder
• weight ≥ 230 lbs (to prevent excessive volume of beverage)
• current use of medications that are contraindicated for alcohol
• a health condition that contraindicates alcohol (e.g. peptic ulcer disease)
• a health condition that affects ability to walk
• if female, pregnant or nursing
• use of recreational drugs (e.g., marijuana, opioids, stimulants, benzodiazepines) within the last week (self-report plus urine screening cup)
• persons who report alcohol-induced flushing, an untoward reaction that is often accompanied by headache, nausea and other symptoms