Training human activity recognition for labels with inaccurate time stamps

UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2014, Pages 863-872

  Toda, Takamichi ^a   Inoue, Sozo ^a   Tanaka, Shota ^a   Ueda, Naonori ^b  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b NTT Communication Science Laboratories   (Japan)

Author keywords

EM algorithm; Human activity recognition; Machine learning; Mobile sensor device; Smoothing

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFIERS; LEARNING SYSTEMS; MOTION ESTIMATION; PATTERN RECOGNITION; UBIQUITOUS COMPUTING;

ACTIVITY RECOGNITION; EM ALGORITHMS; EXPECTATION-MAXIMIZATION ALGORITHMS; HUMAN ACTIVITY RECOGNITION; MOBILE SENSORS; NAIVE BAYES CLASSIFIERS; SENSOR INFORMATIONS; SMOOTHING;

LEARNING ALGORITHMS;

EID: 84908689794     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2638728.2641297     Document Type: Conference Paper

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