Fall detection with the support vector machine during scripted and continuous unscripted activities

Sensors (Switzerland)

Volumn 12, Issue 9, 2012, Pages 12301-12316

  Liu, Shing Hong ^a   Cheng, Wen Chang ^a  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Accelerometer; Activities of daily life; Falling detection; Support vector machine; Threshold based classifier

Indexed keywords

ACTIVITIES OF DAILY LIFE; BODY'S CENTER OF GRAVITIES; FALL DETECTION; FALSE POSITIVE; INPUT VECTOR; THRESHOLD METHODS; THRESHOLD-BASED CLASSIFIERS; TRAINING AND TESTING;

ACCELEROMETERS; GRAVITATION;

SUPPORT VECTOR MACHINES;

ACCELEROMETER; ACTIVITIES OF DAILY LIFE; ADOLESCENT; ADULT; AGED; AMBULATORY MONITORING; ARTICLE; DAILY LIFE ACTIVITY; EQUIPMENT; FALLING; FALLING DETECTION; FEMALE; GRAVITY; HUMAN; MALE; METHODOLOGY; SUPPORT VECTOR MACHINE; THRESHOLD-BASED CLASSIFIER; VERY ELDERLY; YOUNG ADULT;

ACCELEROMETER; ACTIVITIES OF DAILY LIFE; FALLING DETECTION; SUPPORT VECTOR MACHINE; THRESHOLD-BASED CLASSIFIER;

ACCIDENTAL FALLS; ACTIVITIES OF DAILY LIVING; ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; FEMALE; GRAVITATION; HUMANS; MALE; MONITORING, AMBULATORY; SUPPORT VECTOR MACHINES; YOUNG ADULT;

EID: 84867028257     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s120912301     Document Type: Article

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