A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine

WSEAS Transactions on Signal Processing

Volumn 5, Issue 11, 2009, Pages 369-378

  Sprager, Sebastijan ^a   Zazula, Damjan ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

Accelerometer; Body sensor; Cumulants; Gait identification; Gait recognition; High order statistics; Pattern recognition

Indexed keywords

ACCELERATION DATA; ACCELEROMETER DATA; CUMULANTS; DATA ANALYSIS; DIMENSION REDUCTION; FEATURE VECTORS; GAIT CLASSIFICATION; GAIT CYCLES; GAIT RECOGNITION; HIGH ORDER STATISTICS; IN-CELL; PERSON RECOGNITION; PRINCIPAL COMPONENTS; RADIAL BASIS; SIMILARITY MEASURE; WALKING SPEED;

ACCELEROMETERS; DATA REDUCTION; GAIT ANALYSIS; GEARS; PATTERN RECOGNITION; SENSORS; SUPPORT VECTOR MACHINES; TELECOMMUNICATION EQUIPMENT; VECTORS; WALKING AIDS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77953799556     PISSN: 17905022     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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