Beyond where to how: A machine learning approach for sensing mobility contexts using smartphone sensors

26th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2013

Volumn 4, Issue , 2013, Pages 2868-2879

  Guinness, Robert E ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; BAYESIAN NETWORKS; BUS TERMINALS; CARBON FOOTPRINT; COMPUTATIONAL COMPLEXITY; DECISION TREES; INFORMATION SCIENCE; MOBILE COMPUTING; NAVIGATION; NEURAL NETWORKS; PROGRAM PROCESSORS; SENSORS; SIGNAL ENCODING; SMARTPHONES; SUPPORT VECTOR MACHINES; WEB SERVICES;

CLASSIFICATION RATES; COMPUTING APPLICATIONS; GEO-SPATIAL INFORMATIONS; GLOBAL NAVIGATION SATELLITE SYSTEMS; INSTANCE-BASED CLASSIFIERS; LOGISTIC REGRESSIONS; MACHINE LEARNING APPROACHES; THREE AXIS ACCELEROMETERS;

GLOBAL POSITIONING SYSTEM;

EID: 84898965227     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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