Benchmarking the performance of SVMs and HMMs for accelerometer-based biometric gait recognition

IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011

Volumn , Issue , 2011, Pages 281-286

  Nickel, Claudia ^a   Brandt, Holger ^a   Busch, Christoph ^a  

^a DARMSTADT UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

accelerometers; biometrics; gait recognition; hidden markov models; support vector machines

Indexed keywords

ACCELEROMETER DATA; BIOMETRIC GAIT RECOGNITION; CLASSIFICATION RESULTS; CLASSIFICATION TASKS; DATA SETS; DE FACTO STANDARD; EQUAL ERROR RATE; GAIT RECOGNITION; HIDDEN MARKOV MODELS (HMMS); RECOGNITION RATES; SPEAKER RECOGNITION; STANDARD CELL; SUPPORT VECTOR MACHINE (SVM); TRAINING DATA;

ACCELEROMETERS; BIOMETRICS; CLASSIFICATION (OF INFORMATION); ELECTRIC BATTERIES; HIDDEN MARKOV MODELS; INFORMATION TECHNOLOGY; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES;

BENCHMARKING;

EID: 84857854575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPIT.2011.6151574     Document Type: Conference Paper

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