Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers

Pattern Recognition Letters

Volumn 29, Issue 16, 2008, Pages 2213-2220

  Yang, Jhun Ying ^a   Wang, Jeen Shing ^a   Chen, Yen Ping ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Acceleration data; Activity recognition; Feature extraction; Feature subset selection; Neural network; Triaxial accelerometer

Indexed keywords

ACCELEROMETERS; ARTIFICIAL INTELLIGENCE; CLASSIFIERS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NETWORK PROTOCOLS; NEURAL NETWORKS; PHILOSOPHICAL ASPECTS; SENSOR NETWORKS;

ACCELERATION DATA; ACTIVITY RECOGNITION; FEATURE EXTRACTION; FEATURE SUBSET SELECTION; NEURAL NETWORK; TRIAXIAL ACCELEROMETER;

MULTILAYER NEURAL NETWORKS;

EID: 53949117607     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.08.002     Document Type: Article

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