Activity classification based on inertial and barometric pressure sensors at different anatomical locations

Physiological Measurement

Volumn 35, Issue 7, 2014, Pages 1245-1263

  Moncada Torres, A ^a   Leuenberger, K ^a   Gonzenbach, R ^b   Luft, A ^b   Gassert, R ^a  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY HOSPITAL ZURICH   (Switzerland)

Author keywords

accelerometers; activities of daily living; inertial measurement unit; machine learning; stair ascent; stair descent; wearable sensors

Indexed keywords

ATMOSPHERIC PRESSURE; BAROMETERS; LEARNING SYSTEMS; PRESSURE SENSORS; SITE SELECTION; STAIRS; WEARABLE SENSORS;

ACTIVITIES OF DAILY LIVING; ACTIVITY CLASSIFICATIONS; ANATOMICAL LOCATIONS; BAROMETRIC PRESSURE; CLASSIFICATION ACCURACY; INERTIAL MEASUREMENTS UNITS; INERTIAL PRESSURE; SENSOR MODULES; STAIR ASCENT; STAIR DESCENT;

CLASSIFICATION (OF INFORMATION);

ACCELEROMETRY; AMBULATORY MONITORING; ANKLE; ARTICLE; ATMOSPHERIC PRESSURE; DAILY LIFE ACTIVITY; EQUIPMENT; EVALUATION STUDY; FEMALE; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; MOTOR ACTIVITY; PRESSURE; SIGNAL PROCESSING; TRUNK; VALIDATION STUDY; WRIST;

ACCELEROMETRY; ACTIVITIES OF DAILY LIVING; ANKLE; ATMOSPHERIC PRESSURE; FEMALE; HUMANS; MALE; MIDDLE AGED; MONITORING, AMBULATORY; MOTOR ACTIVITY; PRESSURE; SIGNAL PROCESSING, COMPUTER-ASSISTED; TORSO; WRIST;

EID: 84902837100     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/35/7/1245     Document Type: Article

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