ADA - Automatic Detection of Alcohol Usage for Mobile Ambulatory Assessment

Mobile ambulatory assessment systems are being actively developed for various psychological studies. However, to the best of our knowledge, there are very few being used for the detection of alcohol usage. This paper presents a new automatic data analysis pipeline, called ADA (Automatic Detection of Alcohol usage), to assess alcohol use or cravings and emotional dysregulation associated with underlying psychological disorders. ADA works closely with mAAS, a smartphone-based mobile ambulatory assessment system for psychology research, currently being used by approximately 30 subjects in the natural environment. mAAS provides real-time sensor and survey data monitoring and collection tools for real-life subject behavioral and psychological data, as well as physiological data. ADA builds models with the collected data to classify alcohol use or cravings and predict emotional dysregulation. Experiments on real patients and data analysis results are reported. Results show a significant difference between various factors related to drinking, such as emotional data and physiological data.