A modular and distributed bayesian framework for activity recognition in dynamic smart environments

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8309 LNCS, Issue , 2013, Pages 293-298

  Ramakrishnan, Arun Kishore ^a   Preuveneers, Davy ^a   Berbers, Yolande ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Bayesian algorithm; distributed software and frameworks; Smart home office; User contexts and activity recognition

Indexed keywords

AMBIENT INTELLIGENCE; ARTIFICIAL INTELLIGENCE; AUTOMATION; PATTERN RECOGNITION;

ACTIVITY RECOGNITION; AUTONOMIC LEARNING; BAYESIAN ALGORITHMS; BAYESIAN FRAMEWORKS; CONTEXT INFORMATION; DISTRIBUTED SOFTWARE; SMART ENVIRONMENT; SMART HOMES;

IODINE COMPOUNDS;

EID: 84893368965     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03647-2_27     Document Type: Conference Paper

References (5)

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