A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 5, 2010, Pages 1166-1172

  Khan, Adil Mehmood ^a   Lee, Young Koo ^a   Lee, Sungyoung Y ^a   Kim, Tae Seong ^a  

^a Kyung Hee University   (South Korea)

Author keywords

Accelerometer; artificial neural nets (ANNs); autoregressive (AR) modeling; human activity recognition

Indexed keywords

ACCELERATION SIGNALS; ACCELEROMETER SENSOR; ACTIVITY RECOGNITION; ARTIFICIAL-NEURAL NETS (ANNS); AUTOREGRESSIVE MODELING; FEATURE VECTORS; FUNCTIONAL ABILITIES; HUMAN ACTIVITIES; NEURAL NET; RECOGNITION METHODS; SIGNAL FEATURES; TILT ANGLE; TRIAXIAL ACCELEROMETER; WEARABLE SENSORS;

ARGON; DISCRIMINANT ANALYSIS; NEURAL NETWORKS; SENSORS;

ACCELEROMETERS;

ACCELERATION; ADULT; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL NEURAL NETWORK; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; MALE; METHODOLOGY; MOTOR ACTIVITY; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; SIGNAL PROCESSING;

ACCELERATION; ADULT; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; MALE; MONITORING, AMBULATORY; MOTOR ACTIVITY; NEURAL NETWORKS (COMPUTER); NORMAL DISTRIBUTION; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77956366233     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2051955     Document Type: Article

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