Comparing supervised learning techniques on the task of physical activity recognition

IEEE Journal of Biomedical and Health Informatics

Volumn 17, Issue 1, 2013, Pages 46-52

  Dalton, Anthony ^a,b   Ólaighin, Gearóid ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Activity recognition; Base level and meta level classifiers; Kinematic sensors

Indexed keywords

FREQUENCY DOMAIN ANALYSIS; KINEMATICS; PATTERN RECOGNITION; SUPERVISED LEARNING; TIME DOMAIN ANALYSIS;

ACTIVITY RECOGNITION; CONTROLLED LABORATORIES; CROSS CORRELATIONS; DOMINANT FREQUENCY; KINEMATIC SENSORS; META LEVELS; OVERALL ACCURACIES; ZERO CROSSING RATE;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; AMBULATORY MONITORING; ANKLE; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMECHANICS; CLASSIFICATION; COMPARATIVE STUDY; DAILY LIFE ACTIVITY; HUMAN; METHODOLOGY; PHYSIOLOGY; SIGNAL PROCESSING; WRIST; PROCEDURES;

ACTIVITIES OF DAILY LIVING; ALGORITHMS; ANKLE; ARTIFICIAL INTELLIGENCE; BIOMECHANICAL PHENOMENA; HUMANS; MONITORING, AMBULATORY; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; WRIST;

EID: 84885101472     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2223823     Document Type: Article

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