Efficient Activity Recognition and Fall Detection Using Accelerometers

Communications in Computer and Information Science

Volumn 386 CCIS, Issue , 2013, Pages 13-23

  Kozina, Simon ^a   Gjoreski, Hristijan ^a   Gams, Matjaž ^a   Luštrek, Mitja ^a  

^a JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

Accelerometers; Activity recognition; Ambient assisted living; Fall detection; Machine learning; Rules

Indexed keywords

ACCELEROMETERS; ARTIFICIAL INTELLIGENCE; COMPETITION; FINITE DIFFERENCE METHOD; LEARNING ALGORITHMS; LEARNING SYSTEMS;

ACTIVITY RECOGNITION; AMBIENT ASSISTED LIVING; AMBIENT ASSISTED LIVING (AAL); FALL DETECTION; HIGH ACCELERATION; MAXIMUM ACCURACIES; REAL TIME PERFORMANCE; RULES;

PATTERN RECOGNITION;

EID: 84901370635     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-41043-7_2     Document Type: Conference Paper

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