Probabilistic learning from incomplete data for recognition of activities of daily living in smart homes

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 3, 2012, Pages 454-462

  Zhang, Shuai ^a   McClean, Sally I ^a   Scotney, Bryan W ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

activities of daily living (ADLs); Activity recognition; Expectation Maximization (EM) algorithm; incomplete data; probabilistic learning

Indexed keywords

ACTIVITIES OF DAILY LIVING; ACTIVITY RECOGNITION; EXPECTATION-MAXIMIZATION ALGORITHMS; INCOMPLETE DATA; PROBABILISTIC LEARNING;

AUTOMATION; INTELLIGENT BUILDINGS; MAXIMUM PRINCIPLE; SENSORS;

ALGORITHMS;

ALGORITHM; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; DAILY LIFE ACTIVITY; HUMAN; METHODOLOGY; THEORETICAL MODEL;

ACTIVITIES OF DAILY LIVING; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; MODELS, THEORETICAL; MONITORING, AMBULATORY; PATTERN RECOGNITION, AUTOMATED;

EID: 84860685669     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2188534     Document Type: Article

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