Clustering of physical activities for Quantified Self and mhealth applications

Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015

Volumn , Issue , 2015, Pages 1423-1428

  Dobbins, Chelsea ^a   Rawassizadeh, Reza ^b  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b University of California Riverside   (United States)

Author keywords

Clustering; Heart rate; Mhealth; Physical activity; Quantified Self

Indexed keywords

ACCELEROMETERS; DATA HANDLING; WEARABLE TECHNOLOGY;

CLUSTERING; HEART RATES; MHEALTH; PHYSICAL ACTIVITY; QUANTIFIED SELF;

UBIQUITOUS COMPUTING;

EID: 84964203411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIT/IUCC/DASC/PICOM.2015.213     Document Type: Conference Paper

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