A semi-supervised Hidden Markov model-based activity monitoring system

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 1794-1797

  Xu, Min ^a   Zuo, Long ^a   Iyengar, Satish ^a   Goldfain, Albert ^a   Dellostritto, Jim ^a  

^a Center for Science and Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY MONITORING SYSTEM; CLASSIFICATION SYSTEM; COMPLEX ACTIVITY; GENERAL MODEL; HUMAN ACTIVITIES; SEMI-SUPERVISED; STATISTICAL MODELS; TRAINING DATA SETS; TRAINING DATASET; TRIAXIAL ACCELEROMETER;

ACCELEROMETERS; CLASSIFICATION (OF INFORMATION); MODELS; PATIENT MONITORING;

HIDDEN MARKOV MODELS;

ACTIMETRY; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; HUMAN; METHODOLOGY; MOTOR ACTIVITY; PHYSIOLOGY; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ACTIGRAPHY; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MOTOR ACTIVITY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84862262501     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090511     Document Type: Conference Paper

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