An indoor localization system based on artificial neural networks and particle filters applied to intelligent buildings

Neurocomputing

Volumn 122, Issue , 2013, Pages 116-125

  Moreno Cano, M V ^a   Zamora Izquierdo, M A ^a   Santa, José ^a   Skarmeta, Antonio F ^a  

^a UNIVERSITY OF MURCIA   (Spain)

Author keywords

Artificial neural networks; Indoor positioning; Particle filter; RFID; Smart building

Indexed keywords

CONTEXTUAL INFORMATION; CONTROLLING DEVICES; EXPERIMENTAL ASSESSMENT; INDOOR LOCALIZATION; INDOOR LOCALIZATION SYSTEMS; INDOOR POSITIONING; PARTICLE FILTER; PERSONALIZED SERVICE;

AUTOMATION; DISTRIBUTED COMPUTER SYSTEMS; INTELLIGENT BUILDINGS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; RADIO FREQUENCY IDENTIFICATION (RFID); SIGNAL FILTERING AND PREDICTION; TARGET TRACKING;

MONTE CARLO METHODS;

ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; BUILDING; CLIMATE; COMFORT; ENERGY CONSERVATION; FILTER; HUMAN; HUMAN ACTIVITIES; INFORMATION PROCESSING; INFORMATION SYSTEM; INFRARED RADIATION; MOTION ANALYSIS SYSTEM; PRIORITY JOURNAL; RADIOFREQUENCY IDENTIFICATION; SOCIAL SECURITY; STATISTICAL ANALYSIS;

EID: 84884203808     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.01.045     Document Type: Article

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