Statistical data mining of streaming motion data for fall detection in assistive environments

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 3720-3723

  Tasoulis, S K ^a   Doukas, C N ^b   Maglogiannis, I ^a   Plagianakos, V P ^a  

^a UNIVERSITY OF CENTRAL GREECE   (Greece)

^b UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; ALARM TRIGGERING; ASSISTIVE; CLASSIFICATION APPROACH; DATA STREAM; DISABLED PEOPLE; EMERGENCY SITUATION; EVENT DETECTION; FALL DETECTION; FALL PREVENTION; HUMAN MOTION DATA; MOTION DATA; REAL TIME; REAL TIME RECOGNITION; SPECIFIC PROBLEMS; STATISTICAL DATAS; STREAM DATA MINING; SURROUNDING ENVIRONMENT; VIDEO SENSORS; VISUAL DATA; WEARABLE SENSORS;

ACCELEROMETERS; DATA MINING; HANDICAPPED PERSONS; SENSORS;

ACCIDENT PREVENTION;

AGED; ARTICLE; DATA MINING; FALLING; HUMAN; MOTION;

ACCIDENTAL FALLS; AGED; DATA MINING; HUMANS; MOTION;

EID: 84863600398     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090632     Document Type: Conference Paper

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