SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speeds

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Schmid, Maurizio ^a   Riganti Fulginei, Francesco ^a   Bernabucci, Ivan ^a   Laudani, Antonino ^a   Bibbo, Daniele ^a   Muscillo, Rossana ^a   Salvini, Alessandro ^a   Conforto, Silvia ^a  

^a ROMA TRE UNIVERSITY   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; MAPPING; NEURAL NETWORKS; STAIRS;

ACCELEROMETER DATA; CLASSIFICATION SCHEME; DIFFERENT SPEED; DIMENSION REDUCTION; FREQUENCY AND TIME DOMAINS; KERNEL FUNCTION; LOCOMOTOR ACTIVITY; MAXIMUM A POSTERIORI;

SUPPORT VECTOR MACHINES;

ACCELEROMETER; ACCELEROMETRY; ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BIOSENSOR; CLIMBING; CLINICAL CLASSIFICATION; FEMALE; HUMAN; KERNEL METHOD; KINETICS; LOCOMOTION; MALE; MAXIMUM A POSTERIORI CLASSIFICATION; NORMAL HUMAN; SUPPORT VECTOR MACHINE; WALKING; YOUNG ADULT; ACCELERATION; ARTIFICIAL INTELLIGENCE; EQUIPMENT; EXERCISE; METHODOLOGY; MOTOR ACTIVITY; MOVEMENT (PHYSIOLOGY); PHYSIOLOGIC MONITORING; REPRODUCIBILITY; WIRELESS COMMUNICATION;

ACCELERATION; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; EXERCISE; FEMALE; HUMANS; LOCOMOTION; MALE; MONITORING, PHYSIOLOGIC; MOTOR ACTIVITY; MOVEMENT; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES; WALKING; WIRELESS TECHNOLOGY;

EID: 84893806759     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/343084     Document Type: Article

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