A wearable sensor module with a neural-network-based activity classification algorithm for daily energy expenditure estimation

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 5, 2012, Pages 991-998

  Lin, Che Wei ^a   Yang, Ya Ting C ^a   Wang, Jeen Shing ^a   Yang, Yi Ching ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Accelerometer; electrocardiogram (ECG); energy expenditure; feature selection; generalized regression neural network (GRNN); radial basis function network (RBFN)

Indexed keywords

CLASSIFICATION ALGORITHM; COMPUTATIONAL LOADS; DATA COLLECTION; DATA PREPROCESSING; ECG SIGNALS; ENERGY EXPENDITURE; ENERGY EXPENDITURE ESTIMATION; ESTIMATION PERFORMANCE; GENERALIZED REGRESSION NEURAL NETWORKS; INTENSITY LEVELS; MODEL CONSTRUCTION; PERFORMANCE COMPARISON; PHYSICAL ACTIVITY; SATISFACTORY ESTIMATION; SEARCH STRATEGIES; WEARABLE SENSORS;

ACCELEROMETERS; ALGORITHMS; ELECTROCARDIOGRAPHY; ESTIMATION; FEATURE EXTRACTION; RADIAL BASIS FUNCTION NETWORKS; SENSORS;

NEURAL NETWORKS;

ACCELEROMETRY; ADULT; ALGORITHM; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLOTHING; ELECTROCARDIOGRAPHY; ENERGY METABOLISM; FEMALE; HUMAN; HUMAN ACTIVITIES; INSTRUMENTATION; MALE; METHODOLOGY; MOTOR ACTIVITY; PHYSIOLOGY; REGRESSION ANALYSIS; SIGNAL PROCESSING;

ACCELEROMETRY; ADULT; ALGORITHMS; CLOTHING; ELECTROCARDIOGRAPHY; ENERGY METABOLISM; FEMALE; HUMAN ACTIVITIES; HUMANS; MALE; MONITORING, AMBULATORY; MOTOR ACTIVITY; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84866602497     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2206602     Document Type: Article

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