Using accelerometers for physical actions recognition by a neural fuzzy network

Telemedicine and e-Health

Volumn 15, Issue 9, 2009, Pages 867-876

  Liu, Shing Hong ^a   Chang, Yuan Jen ^b  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b CENTRAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Accelerometer; Health monitoring; Physical action; SONFIN

Indexed keywords

A-STABILITY; AR MODELS; AUTOREGRESSION; BASIC ACTIONS; CLASSIFICATION ACCURACY; CLASSIFICATION SCHEME; HEALTH MONITORING; HUMAN ACTIONS; INPUT FEATURES; NEURAL FUZZY INFERENCE NETWORK; NEURAL FUZZY NETWORKS; PHYSICAL ACTION; SELF-CONSTRUCTING; SENSOR PLACEMENT; SITTING DOWN; STATISTICAL PARAMETERS; TESTING DATA; TRAINING AND TESTING; TRIAXIAL ACCELEROMETER;

FUZZY INFERENCE; NEURAL NETWORKS; REGRESSION ANALYSIS; STRUCTURES (BUILT OBJECTS);

ACCELEROMETERS;

ABDOMEN; ACCELEROMETER; ACCURACY; AGED; ARTICLE; FALLING; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; PHYSICAL ACTIVITY; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SENSOR; SITTING; THIGH; THORAX; WAIST CIRCUMFERENCE; WALKING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FUZZY LOGIC; HUMANS; MODELS, THEORETICAL; MOTOR ACTIVITY; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 70450208960     PISSN: 15305627     EISSN: 15563669     Source Type: Journal    
DOI: 10.1089/tmj.2009.0032     Document Type: Article

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