An investigation into non-invasive physical activity recognition using smartphones

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 3340-3343

  Kelly, Daniel ^a   Caulfield, Brian ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITIES OF DAILY LIVING; ACTIVITY RECOGNITION; ACTIVITY SENSING; CLASSIFICATION PRECISION; DATA SETS; DECISION TREE CLASSIFIERS; HEALTH AND WELLNESS; HUMAN ENVIRONMENT; PHYSICAL ACTIVITY; PRECISION AND RECALL; REAL-WORLD SCENARIO; SENSING MODALITIES; SENSOR PLACEMENT;

DECISION TREES; EXPERIMENTS; HUMAN COMPUTER INTERACTION; SENSORS; UBIQUITOUS COMPUTING;

SMARTPHONES;

ARTICLE; DAILY LIFE ACTIVITY; HUMAN; MICROCOMPUTER; MOBILE PHONE; MOTOR ACTIVITY; REPRODUCIBILITY;

ACTIVITIES OF DAILY LIVING; CELLULAR PHONE; HUMANS; MICROCOMPUTERS; MOTOR ACTIVITY; REPRODUCIBILITY OF RESULTS;

EID: 84870800092     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346680     Document Type: Conference Paper

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