Automatically detecting problematic use of smartphones

UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2013, Pages 335-344

  Shin, Choonsung ^a   Dey, Anind K ^b  

^a Korea Electronic Technology Institute (KETI)   (South Korea)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Detection; Health; Machine learning

Indexed keywords

DETECTION MODELS; F-SCORE; ONE-TIME; USAGE DATA;

ADAPTIVE BOOSTING; ERROR DETECTION; HEALTH; LEARNING SYSTEMS; SIGNAL ENCODING; TELEPHONE SETS; UBIQUITOUS COMPUTING;

SMARTPHONES;

EID: 84885237602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2493432.2493443     Document Type: Conference Paper

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