Wearable computing: Accelerometers’ data classification of body postures and movements

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7589, Issue , 2012, Pages 52-61

  Ugulino, Wallace ^a   Cardador, Débora ^a   Vega, Katia ^a   Velloso, Eduardo ^b   Milidiú, Ruy ^a   Fuks, Hugo ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Accelerometer; Human Activity Recognition; Machine Learning; Wearable Computing

Indexed keywords

ACCELEROMETERS; ADAPTIVE BOOSTING; DECISION TREES; LEARNING SYSTEMS; MACHINE LEARNING; PATTERN RECOGNITION; WEARABLE COMPUTERS; WEARABLE SENSORS;

BODY POSTURES; DATA CLASSIFICATION; E-HEALTH SYSTEMS; HUMAN ACTIVITY RECOGNITION; INPUT FEATURES; POTENTIAL TECHNOLOGIES; PUBLIC DOMAINS; WEARABLE COMPUTING;

CLASSIFICATION (OF INFORMATION);

EID: 84952063069     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34459-6_6     Document Type: Conference Paper

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