A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 3, 2009, Pages 871-879

  Preece, Stephen J ^a   Goulermas, John Yannis ^b   Kenney, Laurence P J ^a   Howard, David ^a  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Activity classification; Ambulatory monitoring; Machine learning; Wavelet transform

Indexed keywords

ACCELEROMETER DATUM; ACCELEROMETER SIGNALS; ACTIVITY CLASSIFICATION; AMBULATORY MONITORING; CLASSIFICATION ACCURACIES; CLASSIFICATION ANALYSIS; CLASSIFICATION FEATURES; CLASSIFICATION SCHEMES; CROSS-VALIDATION METHODS; DATA-SETS; FEATURE EXTRACTION METHODS; FEATURE SETS; FREQUENCY-DOMAIN SIGNALS; HEALTHY SUBJECTS; HUMAN ACTIVITIES; LEVEL WALKINGS; MACHINE LEARNING; NEAREST-NEIGHBOR CLASSIFIERS; NON-STATIONARY SIGNALS; STAIR DESCENTS;

ACCELEROMETERS; ROBOT LEARNING; STAIRS; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

ACCELEROMETER; ACCURACY; ADULT; ARTICLE; CLASSIFIER; CONTROLLED STUDY; DAILY LIFE ACTIVITY; EXTRACTION; FEMALE; HEALTH CARE; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; LIFESTYLE; MALE; MONITORING; NORMAL HUMAN; TIME; VALIDATION STUDY; WALKING; WAVEFORM;

ADULT; ALGORITHMS; ANKLE; FEMALE; HUMANS; LOCOMOTION; MALE; MODELS, THEORETICAL; MONITORING, AMBULATORY; MOVEMENT; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; THIGH;

EID: 65349117069     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.2006190     Document Type: Article

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