Reliable real-time recognition of motion related human activities using MEMS inertial sensors

23rd International Technical Meeting of the Satellite Division of the Institute of Navigation 2010, ION GNSS 2010

Volumn 4, Issue , 2010, Pages 2919-2932

  Frank, Korbinian ^a   Nadales, María Josefa Vera ^a,b   Robertson, Patrick ^a   Angermann, Michael ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; BAYESIAN TECHNIQUES; CLASSIFICATION ALGORITHM; HUMAN ACTIVITIES; INERTIAL MEASUREMENT UNIT; LABELED DATA; MEMS INERTIAL SENSORS; REAL TIME RECOGNITION; RECALL RATE; RECOGNITION SYSTEMS; SHORT DURATIONS; TECHNICAL ADVANCES; TURN RATE; UNOBTRUSIVENESS;

GLOBAL POSITIONING SYSTEM; NAVIGATION; SENSORS; UNITS OF MEASUREMENT;

FEATURE EXTRACTION;

EID: 79959932558     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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