HARF: A hierarchical activity recognition framework using smartphone sensors

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

Volumn 8276 LNCS, Issue , 2013, Pages 159-166

  Han, Manhyung ^a   Bang, Jae Hun ^a   Nugent, Chris ^b   McClean, Sally ^b   Lee, Sungyoung ^a  

^a Kyung Hee University   (South Korea)

^b UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Activity recognition; Life log; Multimodal sensors; Na ve bayes; Smartphone

Indexed keywords

ACTIVITY RECOGNITION; CLASSIFICATION ACCURACY; LIFE LOG; MOBILE ENVIRONMENTS; MULTIMODAL SENSOR; REAL TIME RECOGNITION; REAL-TIME ACTIVITY RECOGNITION; USER'S INTENTIONS; ACTIVITY MODELING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; PATTERN RECOGNITION; SENSORS; SIGNAL ENCODING; UBIQUITOUS COMPUTING; SODIUM;

SMARTPHONES;

EID: 84893107789     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03176-7_21     Document Type: Conference Paper

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