Using hidden Markov models for accelerometer-based biometric gait recognition

Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011

Volumn , Issue , 2011, Pages 58-63

  Nickel, Claudia ^a   Busch, Christoph ^a   Rangarajan, Sathyanarayanan ^b   Möbius, Manuel ^c  

^a DARMSTADT UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^c Atip GmbH   (Germany)

Author keywords

accelerometers; authentication on mobile devices; biometrics; gait recognition; hidden markov models

Indexed keywords

ACCELEROMETER DATA; BIOMETRIC GAIT RECOGNITION; DATA SETS; ERROR PRONES; ERROR RATE; EXTRACTION METHOD; FALSE MATCH RATE; FALSE NON MATCH RATE; GAIT RECOGNITION; SPEAKER RECOGNITION SYSTEM; USER-FRIENDLY METHODS;

ACCELEROMETERS; AUTHENTICATION; BIOMETRICS; GAIT ANALYSIS; MOBILE DEVICES; MOBILE PHONES; SIGNAL PROCESSING; SPEECH RECOGNITION; TELEPHONE; TELEPHONE SETS;

HIDDEN MARKOV MODELS;

EID: 79957517712     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSPA.2011.5759842     Document Type: Conference Paper

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