DrinkSense: Characterizing Youth Drinking Behavior Using Smartphones

IEEE Transactions on Mobile Computing

Volumn 17, Issue 10, 2018, Pages 2279-2292

  Santani, Darshan ^a,b   Do, Trinh Minh Tri ^c   Labhart, Florian ^a   Landolt, Sara ^d   Kuntsche, Emmanuel ^c   Gatica Perez, Daniel ^a,b  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b EPFL   (Switzerland)

^c ADDICTION SWITZERLAND   (Switzerland)

^d UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

alcohol; Mobile crowdsensing; nightlife; prediction; smartphone data; ubiquitous computing; youth

Indexed keywords

ACCELEROMETERS; ALCOHOLS; ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; HEALTH RISKS; LEARNING SYSTEMS; MOBILE TELECOMMUNICATION SYSTEMS; SMARTPHONES; STRESSES; TELEPHONE SETS; UBIQUITOUS COMPUTING;

CROWD SENSING; MOBILE COMMUNICATIONS; NIGHTLIFE; URBAN AREAS; YOUTH;

ALCOHOLIC BEVERAGES;

EID: 85041013723     PISSN: 15361233     EISSN: 15580660     Source Type: Journal    
DOI: 10.1109/TMC.2018.2797901     Document Type: Article

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