An indoor position tracking technique based on data fusion for ambient assisted living

2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2013 - Proceedings

Volumn , Issue , 2013, Pages 7-12

  Nazemzadeh, Payam ^a   Fontanelli, Daniele ^a   Macii, David ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

ambient assisted living; data fusion; Indoor localization; Kalman filter; position tracking

Indexed keywords

AMBIENT ASSISTED LIVING; AMBIENT ASSISTED LIVING (AAL); ESTIMATION TECHNIQUES; INDOOR ENVIRONMENT; INDOOR LOCALIZATION; MEASUREMENT DATA; ORIENTATION MEASUREMENTS; TRACKING TECHNIQUES;

ARTIFICIAL INTELLIGENCE; DATA FUSION; EXTENDED KALMAN FILTERS; HANDICAPPED PERSONS; KALMAN FILTERS; MEASUREMENTS; RADIO FREQUENCY IDENTIFICATION (RFID); VIRTUAL REALITY;

TRACKING (POSITION);

EID: 84886869298     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIVEMSA.2013.6617387     Document Type: Conference Paper

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