Automatic fall detection based on Doppler radar motion signature

2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011

Volumn , Issue , 2011, Pages 222-225

  Liu, Liang ^a   Popescu, Mihail ^a   Skubic, Marjorie ^a   Rantz, Marilyn ^a   Yardibi, Tarik ^b   Cuddihy, Paul ^b  

^a Department of Electrical Engineering and Computer Science   (United States)

^b GE GLOBAL RESEARCH   (United States)

Author keywords

eldercare; fall detection; kNN; MFCC features; radar classification; SVM

Indexed keywords

ELDERCARE; FALL DETECTION; KNN; MFCC FEATURES; SVM;

CLASSIFICATION (OF INFORMATION); DOPPLER EFFECT; DOPPLER RADAR; HEALTH CARE; SPEECH RECOGNITION; UBIQUITOUS COMPUTING;

TRACKING RADAR;

EID: 80054890507     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2011.245993     Document Type: Conference Paper

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