Adaptive mobile activity recognition system with evolving data streams

Neurocomputing

Volumn 150, Issue Part A, 2015, Pages 304-317

  Abdallah, Zahraa Said ^a   Gaber, Mohamed Medhat ^b   Srinivasan, Bala ^a   Krishnaswamy, Shonali ^c  

^a MONASH UNIVERSITY   (Australia)

^b ROBERT GORDON UNIVERSITY   (United Kingdom)

^c INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Active learning; Activity recognition; Incremental learning; Mobile application; Stream mining; Ubiquitous computing

Indexed keywords

ARTIFICIAL INTELLIGENCE; TELEPHONE SETS; UBIQUITOUS COMPUTING;

ACTIVE LEARNING; ACTIVITY RECOGNITION; INCREMENTAL LEARNING; MOBILE APPLICATIONS; STREAM MINING;

PATTERN RECOGNITION;

ACCELEROMETER; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFIER; DATA MINING; HUMAN ACTIVITIES; IMAGE ANALYSIS; MACHINE LEARNING; MOBILE APPLICATION;

EID: 84912521840     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.09.074     Document Type: Article

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