Activity recognition from acceleration data based on discrete consine transform and SVM

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2009, Pages 5041-5044

  He, Zhenyu ^a   Jin, Lianwen ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Activity recognition; Discrete cosine transform; Principal component analysis; SVM; Tri axial accelerometer

Indexed keywords

ACCELERATION DATA; ACCELEROMETER DATA; ACTIVITY RECOGNITION; DCT DOMAIN; FEATURE DIMENSIONS; HIGH-ACCURACY; HUMAN ACTIVITIES; HUMAN ACTIVITY RECOGNITION SYSTEMS; MULTI-CLASS SUPPORT VECTOR MACHINES; TRIAXIAL ACCELEROMETER;

ACCELEROMETERS; COSINE TRANSFORMS; CYBERNETICS; DISCRETE COSINE TRANSFORMS; FORESTRY; GEARS; MULTILAYER NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 74849102634     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346042     Document Type: Conference Paper

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