A multivariate time-warping based classifier for gesture recognition with wearable strain sensors

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 4903-4906

  Giorgino, Toni ^a   Tormene, Paolo ^a   Quaglini, Silvana ^a  

^a UNIVERSITY OF PAVIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONDUCTIVE MATERIALS; ELASTOMERS; LEARNING ALGORITHMS; MULTIVARIABLE CONTROL SYSTEMS;

ARTIFACTS; GARMENTS; GESTURE DETECTION ALGORITHMS;

GESTURE RECOGNITION;

ELASTOMER;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLOTHING; ELECTROPHYSIOLOGY; EXERCISE; GENETIC PROCEDURES; GESTURE; HUMAN; MULTIVARIATE ANALYSIS; RECOGNITION; SIGNAL PROCESSING; TIME;

ALGORITHMS; BIOSENSING TECHNIQUES; CLOTHING; ELASTOMERS; ELECTROPHYSIOLOGY; EXERCISE; GESTURES; HUMANS; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; RECOGNITION (PSYCHOLOGY); SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 57649235232     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353439     Document Type: Conference Paper

References (6)

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3. T. Giorgino, F. Lorussi, D. De Rossi, and S. Quaglini, "Posture classification via wearable strain sensors for neurological rehabilitation, " in EMBC06 - IEEE Engineering in Medicine and Biology Society, 9 2006, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering Revolution In BioMedicine.
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