Activity recognition with android phone using mixture-of-experts co-trained with labeled and unlabeled data

Neurocomputing

Volumn 126, Issue , 2014, Pages 106-115

  Lee, Young Seol ^a   Cho, Sung Bae ^a  

^a Yonsei University   (South Korea)

Author keywords

Activity recognition; Android phone; Co training; Mixture of experts

Indexed keywords

ACTIVITY RECOGNITION; ANDROID PHONE; CO-TRAINING; CONTEXT AWARE SERVICES; EXTENDED VERSIONS; HUMAN ACTIVITIES; LABELED AND UNLABELED DATA; MIXTURE-OF-EXPERTS;

CELLULAR TELEPHONE SYSTEMS; DATA PROCESSING; INFORMATION SERVICES; MIXTURES; MOBILE DEVICES; MOBILE PHONES; PATTERN RECOGNITION; SMARTPHONES; TELEPHONE SETS;

ROBOTS;

ACTIVITY RECOGNITION; ALGORITHM; ANDROID PHONE; ARTICLE; AUTOMATED PATTERN RECOGNITION; DATA PROCESSING; GLOBAL LOCAL CO TRAINING ALGORITHM; MACHINE LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; MIXTURE OF EXPERTS MODEL; MIXTURE OF EXPERTS MODEL WITH LABELED DATA; MIXTURE OF EXPERTS MODEL WITH UNLABELED DATA; MOBILE PHONE; PRIORITY JOURNAL; VALIDATION STUDY;

EID: 84887606604     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.05.044     Document Type: Article

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