Fall classification by machine learning using mobile phones

PLoS ONE

Volumn 7, Issue 5, 2012, Pages

  Albert, Mark V ^a,b   Kording, Konrad ^a,b   Herrmann, Megan ^a,c   Jayaraman, Arun ^a,b,c  

^a REHABILITATION INSTITUTE OF CHICAGO   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETER; ACCURACY; ADULT; ALGORITHM; ARTICLE; BAYESIAN LEARNING; CLASSIFIER; CONTROLLED STUDY; DATA PROCESSING; DECISION TREE; FALLING; FEMALE; HUMAN; HUMAN EXPERIMENT; K NEAREST NEIGHBOR; MACHINE LEARNING; MALE; MOBILE PHONE; NORMAL HUMAN; REGRESSION ANALYSIS; SIMULATION; SUPPORT VECTOR MACHINE; TIME SERIES ANALYSIS; INSTRUMENTATION; MIDDLE AGED; MORTALITY;

ACCIDENTAL FALLS; ADULT; ALGORITHMS; CELLULAR PHONE; FEMALE; HUMANS; MALE; MIDDLE AGED; SUPPORT VECTOR MACHINES;

EID: 84860629106     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0036556     Document Type: Article

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