Time-frequency based features for classification of walking patterns

2007 15th International Conference on Digital Signal Processing, DSP 2007

Volumn , Issue , 2007, Pages 187-190

  Ibrahim, Ronny K ^a   Ambikairajah, Eliathamby ^a   Celler, Branko G ^a   Lovell, Nigel H ^a,b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

Author keywords

Accelerotnetry; Ambulatory monitoring; Gait patterns; Gaussian mixture models

Indexed keywords

BAYESIAN ADAPTATION; CHALLENGING PROBLEM; CLASSIFICATION ACCURACIES; DIGITAL SIGNALS; ENERGY VARIATIONS; GAIT PATTERNS; GAUSSIAN MIXTURE MODEL (GMM); HIGH-FREQUENCY (HF); INTERNATIONAL CONFERENCES; NEW APPROACHES; TIME FREQUENCIES; TRI-AXIAL ACCELEROMETERS; WALKING PATTERNS;

CLASSIFICATION (OF INFORMATION); DIGITAL SIGNAL PROCESSING; DIGITAL SIGNAL PROCESSORS; SIGNAL PROCESSING; WALKING AIDS;

FREQUENCY BANDS;

EID: 47649084592     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSP.2007.4288550     Document Type: Conference Paper

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