RAReFall-Real-time activity recognition and fall detection system

2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014

Volumn , Issue , 2014, Pages 145-147

  Gjoreski, Hristijan ^a   Kozina, Simon ^a   Gams, Matjaz ^a   Lustrek, 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; COMMUNICATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATTERN RECOGNITION; UBIQUITOUS COMPUTING;

ACTIVITY RECOGNITION; AMBIENT ASSISTED LIVING; FALL DETECTION; REAL TIME PERFORMANCE; REAL-TIME ACTIVITY RECOGNITION; RULES; SYSTEM INSTALLATION; SYSTEM'S PERFORMANCE;

INTEROPERABILITY;

EID: 84901350096     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerComW.2014.6815182     Document Type: Conference Paper

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